forked from sheetjs/sheetjs
sheet_set_array_formula adjust range
This commit is contained in:
parent
e43071fc64
commit
5d49b7326d
@ -39,12 +39,15 @@ CommonJS
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Deno
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Ethercalc
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ExtendScript
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InDesign
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IndexedDB
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JavaScriptCore
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LocalStorage
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NestJS
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NPM
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Nuxt
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PhantomJS
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Photoshop
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Redis
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RequireJS
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Rollup
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@ -95,6 +98,7 @@ codepage
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config
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customizable
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datagrid
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dataset
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deduplication
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destructuring
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embeddable
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26
Makefile
26
Makefile
@ -115,16 +115,6 @@ bytes: ## Display minified and gzipped file sizes
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@for i in $(BYTEFILEC); do npx printj "%-30s %7d %10d" $$i $$(wc -c < $$i) $$(gzip --best --stdout $$i | wc -c); done
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@for i in $(BYTEFILER); do npx printj "%-30s %7d" $$i $$(wc -c < $$i); done
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.PHONY: graph
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graph: formats.png legend.png ## Rebuild format conversion graph
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misc/formats.svg: misc/formats.dot
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circo -Tsvg -o$@ $<
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misc/legend.svg: misc/legend.dot
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dot -Tsvg -o$@ $<
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formats.png legend.png: %.png: misc/%.svg
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node misc/coarsify.js misc/$*.svg misc/$*.svg.svg
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npx svgexport misc/$*.svg.svg $@ 0.5x
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.PHONY: nexe
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nexe: xlsx.exe ## Build nexe standalone executable
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@ -230,22 +220,8 @@ misc/coverage.html: $(TARGET) test.js
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coveralls: ## Coverage Test + Send to coveralls.io
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mocha --require blanket --reporter mocha-lcov-reporter -t 30000 | node ./node_modules/coveralls/bin/coveralls.js
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READEPS=$(sort $(wildcard docbits/*.md))
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README.md: $(READEPS)
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awk 'FNR==1{p=0}/#/{p=1}p' $^ | tr -d '\15\32' > $@
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.PHONY: readme
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readme: README.md ## Update README Table of Contents
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markdown-toc -i README.md
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.PHONY: book
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book: readme graph ## Update summary for documentation
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printf "# Summary\n\n- [xlsx](README.md#sheetjs-js-xlsx)\n" > misc/docs/SUMMARY.md
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markdown-toc README.md | sed 's/(#/(README.md#/g'>> misc/docs/SUMMARY.md
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<README.md grep -vE "(details|summary)>" > misc/docs/README.md
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DEMOMDS=$(sort $(wildcard demos/*/README.md))
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MDLINT=$(DEMOMDS) $(READEPS) demos/README.md
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MDLINT=$(DEMOMDS) README.md demos/README.md
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.PHONY: mdlint
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mdlint: $(MDLINT) ## Check markdown documents
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./node_modules/.bin/alex $^
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@ -360,6 +360,12 @@ function sheet_set_array_formula(ws/*:Worksheet*/, range, formula/*:string*/, dy
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if(dynamic) cell.D = true;
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}
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}
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var wsr = decode_range(ws["!ref"]);
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if(wsr.s.r > rng.s.r) wsr.s.r = rng.s.r;
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if(wsr.s.c > rng.s.c) wsr.s.c = rng.s.c;
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if(wsr.e.r < rng.e.r) wsr.e.r = rng.e.r;
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if(wsr.e.c < rng.e.c) wsr.e.c = rng.e.c;
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ws["!ref"] = encode_range(ws["!ref"]);
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return ws;
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}
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@ -1,27 +0,0 @@
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# [SheetJS](https://sheetjs.com)
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The SheetJS Community Edition offers battle-tested open-source solutions for
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extracting useful data from almost any complex spreadsheet and generating new
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spreadsheets that will work with legacy and modern software alike.
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[SheetJS Pro](https://sheetjs.com/pro) offers solutions beyond data processing:
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Edit complex templates with ease; let out your inner Picasso with styling; make
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custom sheets with images/graphs/PivotTables; evaluate formula expressions and
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port calculations to web apps; automate common spreadsheet tasks, and much more!
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![License](https://img.shields.io/github/license/SheetJS/sheetjs)
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[![Build Status](https://img.shields.io/github/workflow/status/sheetjs/sheetjs/Tests:%20node.js)](https://github.com/SheetJS/sheetjs/actions)
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[![Snyk Vulnerabilities](https://img.shields.io/snyk/vulnerabilities/github/SheetJS/sheetjs)](https://snyk.io/test/github/SheetJS/sheetjs)
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[![npm Downloads](https://img.shields.io/npm/dm/xlsx.svg)](https://npmjs.org/package/xlsx)
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[![Analytics](https://ga-beacon.appspot.com/UA-36810333-1/SheetJS/sheetjs?pixel)](https://github.com/SheetJS/sheetjs)
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[**Browser Test and Support Matrix**](https://oss.sheetjs.com/sheetjs/tests/)
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[![Build Status](https://saucelabs.com/browser-matrix/sheetjs.svg)](https://saucelabs.com/u/sheetjs)
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**Supported File Formats**
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![circo graph of format support](formats.png)
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![graph legend](legend.png)
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@ -1,8 +0,0 @@
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## Table of Contents
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<details>
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<summary><b>Expand to show Table of Contents</b></summary>
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<!-- toc -->
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</details>
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|
@ -1,212 +0,0 @@
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## Getting Started
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### Installation
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#### Standalone Browser Scripts
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Each standalone release script is available at <https://cdn.sheetjs.com/>.
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The current version is `0.18.7` and can be referenced as follows:
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```html
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<!-- use version 0.18.7 -->
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<script lang="javascript" src="https://cdn.sheetjs.com/xlsx-0.18.7/package/dist/xlsx.full.min.js"></script>
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```
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The `latest` tag references the latest version and updates with each release:
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```html
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<!-- use the latest version -->
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<script lang="javascript" src="https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js"></script>
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```
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**For production use, scripts should be downloaded and added to a public folder
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alongside other scripts.**
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<details>
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<summary><b>Browser builds</b> (click to show)</summary>
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The complete single-file version is generated at `dist/xlsx.full.min.js`
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`dist/xlsx.core.min.js` omits codepage library (no support for XLS encodings)
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A slimmer build is generated at `dist/xlsx.mini.min.js`. Compared to full build:
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- codepage library skipped (no support for XLS encodings)
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- no support for XLSB / XLS / Lotus 1-2-3 / SpreadsheetML 2003 / Numbers
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- node stream utils removed
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These scripts are also available on the CDN:
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```html
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<!-- use xlsx.mini.min.js from version 0.18.7 -->
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<script lang="javascript" src="https://cdn.sheetjs.com/xlsx-0.18.7/package/dist/xlsx.mini.min.js"></script>
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```
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</details>
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[Bower](https://bower.io/) plays nice with the CDN tarballs:
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```bash
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$ npx bower install https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz
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```
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Bower will place the standalone scripts in `bower_components/js-xlsx/dist/`
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<details>
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<summary><b>Internet Explorer and ECMAScript 3 Compatibility</b> (click to show)</summary>
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For broad compatibility with JavaScript engines, the library is written using
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ECMAScript 3 language dialect as well as some ES5 features like `Array#forEach`.
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Older browsers require shims to provide missing functions.
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To use the shim, add the shim before the script tag that loads `xlsx.js`:
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```html
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<!-- add the shim first -->
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<script type="text/javascript" src="shim.min.js"></script>
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<!-- after the shim is referenced, add the library -->
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<script type="text/javascript" src="xlsx.full.min.js"></script>
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```
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Due to SSL certificate compatibility issues, it is highly recommended to save
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the Standalone and Shim scripts from <https://cdn.sheetjs.com/> and add to a
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public directory in the site.
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The script also includes `IE_LoadFile` and `IE_SaveFile` for loading and saving
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files in Internet Explorer versions 6-9. The `xlsx.extendscript.js` script
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bundles the shim in a format suitable for Photoshop and other Adobe products.
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</details>
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#### ECMAScript Modules
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_Browser ESM_
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The ECMAScript Module build is saved to `xlsx.mjs` and can be directly added to
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a page with a `script` tag using `type="module"`:
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```html
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<script type="module">
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import { read, writeFileXLSX } from "https://cdn.sheetjs.com/xlsx-0.18.7/package/xlsx.mjs";
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/* load the codepage support library for extended support with older formats */
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import { set_cptable } from "https://cdn.sheetjs.com/xlsx-0.18.7/package/xlsx.mjs";
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import * as cptable from 'https://cdn.sheetjs.com/xlsx-0.18.7/package/dist/cpexcel.full.mjs';
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set_cptable(cptable);
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</script>
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```
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_Frameworks (Angular, VueJS, React) and Bundlers (webpack, etc)_
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The NodeJS package is readily installed from the tarballs:
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```bash
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$ npm install --save https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # npm
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$ pnpm install --save https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # pnpm
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$ yarn add --save https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # yarn
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```
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Once installed, the library can be imported under the name `xlsx`:
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```ts
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import { read, writeFileXLSX } from "xlsx";
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/* load the codepage support library for extended support with older formats */
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import { set_cptable } from "xlsx";
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import * as cptable from 'xlsx/dist/cpexcel.full.mjs';
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set_cptable(cptable);
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```
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#### Deno
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`xlsx.mjs` can be imported in Deno:
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```ts
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// @deno-types="https://cdn.sheetjs.com/xlsx-0.18.7/package/types/index.d.ts"
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import * as XLSX from 'https://cdn.sheetjs.com/xlsx-0.18.7/package/xlsx.mjs';
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/* load the codepage support library for extended support with older formats */
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import * as cptable from 'https://cdn.sheetjs.com/xlsx-0.18.7/package/dist/cpexcel.full.mjs';
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XLSX.set_cptable(cptable);
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```
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#### NodeJS
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Tarballs are available on <https://cdn.sheetjs.com>.
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||||
Each individual version can be referenced using a similar URL pattern.
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<https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz> is the URL for `0.18.7`
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<https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz> is a link to the latest
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version and will refresh on each release.
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_Installation_
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||||
|
||||
Tarballs can be directly installed using a package manager:
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||||
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||||
```bash
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$ npm install https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # npm
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$ pnpm install https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # pnpm
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$ yarn add https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz # yarn
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```
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||||
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For general stability, "vendoring" modules is the recommended approach:
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||||
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||||
1) Download the tarball (`xlsx-0.18.7.tgz`) for the desired version. The current
|
||||
version is available at <https://cdn.sheetjs.com/xlsx-0.18.7/xlsx-0.18.7.tgz>
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2) Create a `vendor` subdirectory at the root of your project and move the
|
||||
tarball to that folder. Add it to your project repository.
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||||
|
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3) Install the tarball using a package manager:
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|
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```bash
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$ npm install --save file:vendor/xlsx-0.18.7.tgz # npm
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||||
$ pnpm install --save file:vendor/xlsx-0.18.7.tgz # pnpm
|
||||
$ yarn add file:vendor/xlsx-0.18.7.tgz # yarn
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||||
```
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||||
The package will be installed and accessible as `xlsx`.
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||||
|
||||
_Usage_
|
||||
|
||||
By default, the module supports `require` and it will automatically add support
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for streams and filesystem access:
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||||
|
||||
```js
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var XLSX = require("xlsx");
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```
|
||||
|
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The module also ships with `xlsx.mjs` for use with `import`. The `mjs` version
|
||||
does not automatically load native node modules:
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||||
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```js
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import * as XLSX from 'xlsx/xlsx.mjs';
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/* load 'fs' for readFile and writeFile support */
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import * as fs from 'fs';
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XLSX.set_fs(fs);
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/* load 'stream' for stream support */
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import { Readable } from 'stream';
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XLSX.stream.set_readable(Readable);
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/* load the codepage support library for extended support with older formats */
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import * as cpexcel from 'xlsx/dist/cpexcel.full.mjs';
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XLSX.set_cptable(cpexcel);
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```
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|
||||
#### Photoshop and InDesign
|
||||
|
||||
`dist/xlsx.extendscript.js` is an ExtendScript build for Photoshop and InDesign.
|
||||
<https://cdn.sheetjs.com/xlsx-0.18.7/package/dist/xlsx.extendscript.js> is the
|
||||
current version. After downloading the script, it can be directly referenced
|
||||
with a `#include` directive:
|
||||
|
||||
```extendscript
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#include "xlsx.extendscript.js"
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||||
```
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|
@ -1,270 +0,0 @@
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### Usage
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Most scenarios involving spreadsheets and data can be broken into 5 parts:
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1) **Acquire Data**: Data may be stored anywhere: local or remote files,
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databases, HTML TABLE, or even generated programmatically in the web browser.
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2) **Extract Data**: For spreadsheet files, this involves parsing raw bytes to
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read the cell data. For general JS data, this involves reshaping the data.
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3) **Process Data**: From generating summary statistics to cleaning data
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records, this step is the heart of the problem.
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4) **Package Data**: This can involve making a new spreadsheet or serializing
|
||||
with `JSON.stringify` or writing XML or simply flattening data for UI tools.
|
||||
|
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5) **Release Data**: Spreadsheet files can be uploaded to a server or written
|
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locally. Data can be presented to users in an HTML TABLE or data grid.
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|
||||
A common problem involves generating a valid spreadsheet export from data stored
|
||||
in an HTML table. In this example, an HTML TABLE on the page will be scraped,
|
||||
a row will be added to the bottom with the date of the report, and a new file
|
||||
will be generated and downloaded locally. `XLSX.writeFile` takes care of
|
||||
packaging the data and attempting a local download:
|
||||
|
||||
```js
|
||||
// Acquire Data (reference to the HTML table)
|
||||
var table_elt = document.getElementById("my-table-id");
|
||||
|
||||
// Extract Data (create a workbook object from the table)
|
||||
var workbook = XLSX.utils.table_to_book(table_elt);
|
||||
|
||||
// Process Data (add a new row)
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var ws = workbook.Sheets["Sheet1"];
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||||
XLSX.utils.sheet_add_aoa(ws, [["Created "+new Date().toISOString()]], {origin:-1});
|
||||
|
||||
// Package and Release Data (`writeFile` tries to write and save an XLSB file)
|
||||
XLSX.writeFile(workbook, "Report.xlsb");
|
||||
```
|
||||
|
||||
This library tries to simplify steps 2 and 4 with functions to extract useful
|
||||
data from spreadsheet files (`read` / `readFile`) and generate new spreadsheet
|
||||
files from data (`write` / `writeFile`). Additional utility functions like
|
||||
`table_to_book` work with other common data sources like HTML tables.
|
||||
|
||||
This documentation and various demo projects cover a number of common scenarios
|
||||
and approaches for steps 1 and 5.
|
||||
|
||||
Utility functions help with step 3.
|
||||
|
||||
["Acquiring and Extracting Data"](#acquiring-and-extracting-data) describes
|
||||
solutions for common data import scenarios.
|
||||
|
||||
["Packaging and Releasing Data"](#packaging-and-releasing-data) describes
|
||||
solutions for common data export scenarios.
|
||||
|
||||
["Processing Data"](#packaging-and-releasing-data) describes solutions for
|
||||
common workbook processing and manipulation scenarios.
|
||||
|
||||
["Utility Functions"](#utility-functions) details utility functions for
|
||||
translating JSON Arrays and other common JS structures into worksheet objects.
|
||||
|
||||
### The Zen of SheetJS
|
||||
|
||||
_Data processing should fit in any workflow_
|
||||
|
||||
The library does not impose a separate lifecycle. It fits nicely in websites
|
||||
and apps built using any framework. The plain JS data objects play nice with
|
||||
Web Workers and future APIs.
|
||||
|
||||
_JavaScript is a powerful language for data processing_
|
||||
|
||||
The ["Common Spreadsheet Format"](#common-spreadsheet-format) is a simple object
|
||||
representation of the core concepts of a workbook. The various functions in the
|
||||
library provide low-level tools for working with the object.
|
||||
|
||||
For friendly JS processing, there are utility functions for converting parts of
|
||||
a worksheet to/from an Array of Arrays. The following example combines powerful
|
||||
JS Array methods with a network request library to download data, select the
|
||||
information we want and create a workbook file:
|
||||
|
||||
<details>
|
||||
<summary><b>Get Data from a JSON Endpoint and Generate a Workbook</b> (click to show)</summary>
|
||||
|
||||
The goal is to generate a XLSB workbook of US President names and birthdays.
|
||||
|
||||
**Acquire Data**
|
||||
|
||||
_Raw Data_
|
||||
|
||||
<https://theunitedstates.io/congress-legislators/executive.json> has the desired
|
||||
data. For example, John Adams:
|
||||
|
||||
```js
|
||||
{
|
||||
"id": { /* (data omitted) */ },
|
||||
"name": {
|
||||
"first": "John", // <-- first name
|
||||
"last": "Adams" // <-- last name
|
||||
},
|
||||
"bio": {
|
||||
"birthday": "1735-10-19", // <-- birthday
|
||||
"gender": "M"
|
||||
},
|
||||
"terms": [
|
||||
{ "type": "viceprez", /* (other fields omitted) */ },
|
||||
{ "type": "viceprez", /* (other fields omitted) */ },
|
||||
{ "type": "prez", /* (other fields omitted) */ } // <-- look for "prez"
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
_Filtering for Presidents_
|
||||
|
||||
The dataset includes Aaron Burr, a Vice President who was never President!
|
||||
|
||||
`Array#filter` creates a new array with the desired rows. A President served
|
||||
at least one term with `type` set to `"prez"`. To test if a particular row has
|
||||
at least one `"prez"` term, `Array#some` is another native JS function. The
|
||||
complete filter would be:
|
||||
|
||||
```js
|
||||
const prez = raw_data.filter(row => row.terms.some(term => term.type === "prez"));
|
||||
```
|
||||
|
||||
_Lining up the data_
|
||||
|
||||
For this example, the name will be the first name combined with the last name
|
||||
(`row.name.first + " " + row.name.last`) and the birthday will be the subfield
|
||||
`row.bio.birthday`. Using `Array#map`, the dataset can be massaged in one call:
|
||||
|
||||
```js
|
||||
const rows = prez.map(row => ({
|
||||
name: row.name.first + " " + row.name.last,
|
||||
birthday: row.bio.birthday
|
||||
}));
|
||||
```
|
||||
|
||||
The result is an array of "simple" objects with no nesting:
|
||||
|
||||
```js
|
||||
[
|
||||
{ name: "George Washington", birthday: "1732-02-22" },
|
||||
{ name: "John Adams", birthday: "1735-10-19" },
|
||||
// ... one row per President
|
||||
]
|
||||
```
|
||||
|
||||
**Extract Data**
|
||||
|
||||
With the cleaned dataset, `XLSX.utils.json_to_sheet` generates a worksheet:
|
||||
|
||||
```js
|
||||
const worksheet = XLSX.utils.json_to_sheet(rows);
|
||||
```
|
||||
|
||||
`XLSX.utils.book_new` creates a new workbook and `XLSX.utils.book_append_sheet`
|
||||
appends a worksheet to the workbook. The new worksheet will be called "Dates":
|
||||
|
||||
```js
|
||||
const workbook = XLSX.utils.book_new();
|
||||
XLSX.utils.book_append_sheet(workbook, worksheet, "Dates");
|
||||
```
|
||||
|
||||
**Process Data**
|
||||
|
||||
_Fixing headers_
|
||||
|
||||
By default, `json_to_sheet` creates a worksheet with a header row. In this case,
|
||||
the headers come from the JS object keys: "name" and "birthday".
|
||||
|
||||
The headers are in cells A1 and B1. `XLSX.utils.sheet_add_aoa` can write text
|
||||
values to the existing worksheet starting at cell A1:
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_add_aoa(worksheet, [["Name", "Birthday"]], { origin: "A1" });
|
||||
```
|
||||
|
||||
_Fixing Column Widths_
|
||||
|
||||
Some of the names are longer than the default column width. Column widths are
|
||||
set by [setting the `"!cols"` worksheet property](#row-and-column-properties).
|
||||
|
||||
The following line sets the width of column A to approximately 10 characters:
|
||||
|
||||
```js
|
||||
worksheet["!cols"] = [ { wch: 10 } ]; // set column A width to 10 characters
|
||||
```
|
||||
|
||||
One `Array#reduce` call over `rows` can calculate the maximum width:
|
||||
|
||||
```js
|
||||
const max_width = rows.reduce((w, r) => Math.max(w, r.name.length), 10);
|
||||
worksheet["!cols"] = [ { wch: max_width } ];
|
||||
```
|
||||
|
||||
Note: If the starting point was a file or HTML table, `XLSX.utils.sheet_to_json`
|
||||
will generate an array of JS objects.
|
||||
|
||||
**Package and Release Data**
|
||||
|
||||
`XLSX.writeFile` creates a spreadsheet file and tries to write it to the system.
|
||||
In the browser, it will try to prompt the user to download the file. In NodeJS,
|
||||
it will write to the local directory.
|
||||
|
||||
```js
|
||||
XLSX.writeFile(workbook, "Presidents.xlsx");
|
||||
```
|
||||
|
||||
**Complete Example**
|
||||
|
||||
```js
|
||||
// Uncomment the next line for use in NodeJS:
|
||||
// const XLSX = require("xlsx"), axios = require("axios");
|
||||
|
||||
(async() => {
|
||||
/* fetch JSON data and parse */
|
||||
const url = "https://theunitedstates.io/congress-legislators/executive.json";
|
||||
const raw_data = (await axios(url, {responseType: "json"})).data;
|
||||
|
||||
/* filter for the Presidents */
|
||||
const prez = raw_data.filter(row => row.terms.some(term => term.type === "prez"));
|
||||
|
||||
/* flatten objects */
|
||||
const rows = prez.map(row => ({
|
||||
name: row.name.first + " " + row.name.last,
|
||||
birthday: row.bio.birthday
|
||||
}));
|
||||
|
||||
/* generate worksheet and workbook */
|
||||
const worksheet = XLSX.utils.json_to_sheet(rows);
|
||||
const workbook = XLSX.utils.book_new();
|
||||
XLSX.utils.book_append_sheet(workbook, worksheet, "Dates");
|
||||
|
||||
/* fix headers */
|
||||
XLSX.utils.sheet_add_aoa(worksheet, [["Name", "Birthday"]], { origin: "A1" });
|
||||
|
||||
/* calculate column width */
|
||||
const max_width = rows.reduce((w, r) => Math.max(w, r.name.length), 10);
|
||||
worksheet["!cols"] = [ { wch: max_width } ];
|
||||
|
||||
/* create an XLSX file and try to save to Presidents.xlsx */
|
||||
XLSX.writeFile(workbook, "Presidents.xlsx");
|
||||
})();
|
||||
```
|
||||
|
||||
For use in the web browser, assuming the snippet is saved to `snippet.js`,
|
||||
script tags should be used to include the `axios` and `xlsx` standalone builds:
|
||||
|
||||
```html
|
||||
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js"></script>
|
||||
<script src="https://unpkg.com/axios/dist/axios.min.js"></script>
|
||||
<script src="snippet.js"></script>
|
||||
```
|
||||
|
||||
|
||||
</details>
|
||||
|
||||
_File formats are implementation details_
|
||||
|
||||
The parser covers a wide gamut of common spreadsheet file formats to ensure that
|
||||
"HTML-saved-as-XLS" files work as well as actual XLS or XLSX files.
|
||||
|
||||
The writer supports a number of common output formats for broad compatibility
|
||||
with the data ecosystem.
|
||||
|
||||
To the greatest extent possible, data processing code should not have to worry
|
||||
about the specific file formats involved.
|
||||
|
||||
|
@ -1,50 +0,0 @@
|
||||
### JS Ecosystem Demos
|
||||
|
||||
The [`demos` directory](demos/) includes sample projects for:
|
||||
|
||||
**Frameworks and APIs**
|
||||
- [`angularjs`](demos/angular/)
|
||||
- [`angular and ionic`](demos/angular2/)
|
||||
- [`knockout`](demos/knockout/)
|
||||
- [`meteor`](demos/meteor/)
|
||||
- [`react, react-native, next`](demos/react/)
|
||||
- [`vue 2.x, weex, nuxt`](demos/vue/)
|
||||
- [`XMLHttpRequest and fetch`](demos/xhr/)
|
||||
- [`nodejs server`](demos/server/)
|
||||
- [`databases and key/value stores`](demos/database/)
|
||||
- [`typed arrays and math`](demos/array/)
|
||||
|
||||
**Bundlers and Tooling**
|
||||
- [`browserify`](demos/browserify/)
|
||||
- [`fusebox`](demos/fusebox/)
|
||||
- [`parcel`](demos/parcel/)
|
||||
- [`requirejs`](demos/requirejs/)
|
||||
- [`rollup`](demos/rollup/)
|
||||
- [`systemjs`](demos/systemjs/)
|
||||
- [`typescript`](demos/typescript/)
|
||||
- [`webpack 2.x`](demos/webpack/)
|
||||
|
||||
**Platforms and Integrations**
|
||||
- [`deno`](demos/deno/)
|
||||
- [`electron application`](demos/electron/)
|
||||
- [`nw.js application`](demos/nwjs/)
|
||||
- [`Chrome / Chromium extensions`](demos/chrome/)
|
||||
- [`Download a Google Sheet locally`](demos/google-sheet/)
|
||||
- [`Adobe ExtendScript`](demos/extendscript/)
|
||||
- [`Headless Browsers`](demos/headless/)
|
||||
- [`canvas-datagrid`](demos/datagrid/)
|
||||
- [`x-spreadsheet`](demos/xspreadsheet/)
|
||||
- [`react-data-grid`](demos/react/modify/)
|
||||
- [`vue3-table-light`](demos/vue/modify/)
|
||||
- [`Swift JSC and other engines`](demos/altjs/)
|
||||
- [`"serverless" functions`](demos/function/)
|
||||
- [`internet explorer`](demos/oldie/)
|
||||
|
||||
Other examples are included in the [showcase](demos/showcase/).
|
||||
|
||||
<https://sheetjs.com/demos/modify.html> shows a complete example of reading,
|
||||
modifying, and writing files.
|
||||
|
||||
<https://github.com/SheetJS/sheetjs/blob/HEAD/bin/xlsx.njs> is the command-line
|
||||
tool included with node installations, reading spreadsheet files and exporting
|
||||
the contents in various formats.
|
@ -1,443 +0,0 @@
|
||||
## Acquiring and Extracting Data
|
||||
|
||||
### Parsing Workbooks
|
||||
|
||||
**API**
|
||||
|
||||
_Extract data from spreadsheet bytes_
|
||||
|
||||
```js
|
||||
var workbook = XLSX.read(data, opts);
|
||||
```
|
||||
|
||||
The `read` method can extract data from spreadsheet bytes stored in a JS string,
|
||||
"binary string", NodeJS buffer or typed array (`Uint8Array` or `ArrayBuffer`).
|
||||
|
||||
|
||||
_Read spreadsheet bytes from a local file and extract data_
|
||||
|
||||
```js
|
||||
var workbook = XLSX.readFile(filename, opts);
|
||||
```
|
||||
|
||||
The `readFile` method attempts to read a spreadsheet file at the supplied path.
|
||||
Browsers generally do not allow reading files in this way (it is deemed a
|
||||
security risk), and attempts to read files in this way will throw an error.
|
||||
|
||||
The second `opts` argument is optional. ["Parsing Options"](#parsing-options)
|
||||
covers the supported properties and behaviors.
|
||||
|
||||
**Examples**
|
||||
|
||||
Here are a few common scenarios (click on each subtitle to see the code):
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a NodeJS server</b> (click to show)</summary>
|
||||
|
||||
`readFile` uses `fs.readFileSync` under the hood:
|
||||
|
||||
```js
|
||||
var XLSX = require("xlsx");
|
||||
|
||||
var workbook = XLSX.readFile("test.xlsx");
|
||||
```
|
||||
|
||||
For Node ESM, the `readFile` helper is not enabled. Instead, `fs.readFileSync`
|
||||
should be used to read the file data as a `Buffer` for use with `XLSX.read`:
|
||||
|
||||
```js
|
||||
import { readFileSync } from "fs";
|
||||
import { read } from "xlsx/xlsx.mjs";
|
||||
|
||||
const buf = readFileSync("test.xlsx");
|
||||
/* buf is a Buffer */
|
||||
const workbook = read(buf);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a Deno application</b> (click to show)</summary>
|
||||
|
||||
`readFile` uses `Deno.readFileSync` under the hood:
|
||||
|
||||
```js
|
||||
// @deno-types="https://deno.land/x/sheetjs/types/index.d.ts"
|
||||
import * as XLSX from 'https://deno.land/x/sheetjs/xlsx.mjs'
|
||||
|
||||
const workbook = XLSX.readFile("test.xlsx");
|
||||
```
|
||||
|
||||
Applications reading files must be invoked with the `--allow-read` flag. The
|
||||
[`deno` demo](demos/deno/) has more examples
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>User-submitted file in a web page ("Drag-and-Drop")</b> (click to show)</summary>
|
||||
|
||||
For modern websites targeting Chrome 76+, `File#arrayBuffer` is recommended:
|
||||
|
||||
```js
|
||||
// XLSX is a global from the standalone script
|
||||
|
||||
async function handleDropAsync(e) {
|
||||
e.stopPropagation(); e.preventDefault();
|
||||
const f = e.dataTransfer.files[0];
|
||||
/* f is a File */
|
||||
const data = await f.arrayBuffer();
|
||||
/* data is an ArrayBuffer */
|
||||
const workbook = XLSX.read(data);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
}
|
||||
drop_dom_element.addEventListener("drop", handleDropAsync, false);
|
||||
```
|
||||
|
||||
For maximal compatibility, the `FileReader` API should be used:
|
||||
|
||||
```js
|
||||
function handleDrop(e) {
|
||||
e.stopPropagation(); e.preventDefault();
|
||||
var f = e.dataTransfer.files[0];
|
||||
/* f is a File */
|
||||
var reader = new FileReader();
|
||||
reader.onload = function(e) {
|
||||
var data = e.target.result;
|
||||
/* reader.readAsArrayBuffer(file) -> data will be an ArrayBuffer */
|
||||
var workbook = XLSX.read(data);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
};
|
||||
reader.readAsArrayBuffer(f);
|
||||
}
|
||||
drop_dom_element.addEventListener("drop", handleDrop, false);
|
||||
```
|
||||
|
||||
<https://oss.sheetjs.com/sheetjs/> demonstrates the FileReader technique.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>User-submitted file with an HTML INPUT element</b> (click to show)</summary>
|
||||
|
||||
Starting with an HTML INPUT element with `type="file"`:
|
||||
|
||||
```html
|
||||
<input type="file" id="input_dom_element">
|
||||
```
|
||||
|
||||
For modern websites targeting Chrome 76+, `Blob#arrayBuffer` is recommended:
|
||||
|
||||
```js
|
||||
// XLSX is a global from the standalone script
|
||||
|
||||
async function handleFileAsync(e) {
|
||||
const file = e.target.files[0];
|
||||
const data = await file.arrayBuffer();
|
||||
/* data is an ArrayBuffer */
|
||||
const workbook = XLSX.read(data);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
}
|
||||
input_dom_element.addEventListener("change", handleFileAsync, false);
|
||||
```
|
||||
|
||||
For broader support (including IE10+), the `FileReader` approach is recommended:
|
||||
|
||||
```js
|
||||
function handleFile(e) {
|
||||
var file = e.target.files[0];
|
||||
var reader = new FileReader();
|
||||
reader.onload = function(e) {
|
||||
var data = e.target.result;
|
||||
/* reader.readAsArrayBuffer(file) -> data will be an ArrayBuffer */
|
||||
var workbook = XLSX.read(e.target.result);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
};
|
||||
reader.readAsArrayBuffer(file);
|
||||
}
|
||||
input_dom_element.addEventListener("change", handleFile, false);
|
||||
```
|
||||
|
||||
The [`oldie` demo](demos/oldie/) shows an IE-compatible fallback scenario.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Fetching a file in the web browser ("Ajax")</b> (click to show)</summary>
|
||||
|
||||
For modern websites targeting Chrome 42+, `fetch` is recommended:
|
||||
|
||||
```js
|
||||
// XLSX is a global from the standalone script
|
||||
|
||||
(async() => {
|
||||
const url = "http://oss.sheetjs.com/test_files/formula_stress_test.xlsx";
|
||||
const data = await (await fetch(url)).arrayBuffer();
|
||||
/* data is an ArrayBuffer */
|
||||
const workbook = XLSX.read(data);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
})();
|
||||
```
|
||||
|
||||
For broader support, the `XMLHttpRequest` approach is recommended:
|
||||
|
||||
```js
|
||||
var url = "http://oss.sheetjs.com/test_files/formula_stress_test.xlsx";
|
||||
|
||||
/* set up async GET request */
|
||||
var req = new XMLHttpRequest();
|
||||
req.open("GET", url, true);
|
||||
req.responseType = "arraybuffer";
|
||||
|
||||
req.onload = function(e) {
|
||||
var workbook = XLSX.read(req.response);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
};
|
||||
|
||||
req.send();
|
||||
```
|
||||
|
||||
The [`xhr` demo](demos/xhr/) includes a longer discussion and more examples.
|
||||
|
||||
<http://oss.sheetjs.com/sheetjs/ajax.html> shows fallback approaches for IE6+.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a PhotoShop or InDesign plugin</b> (click to show)</summary>
|
||||
|
||||
`readFile` wraps the `File` logic in Photoshop and other ExtendScript targets.
|
||||
The specified path should be an absolute path:
|
||||
|
||||
```js
|
||||
#include "xlsx.extendscript.js"
|
||||
|
||||
/* Read test.xlsx from the Documents folder */
|
||||
var workbook = XLSX.readFile(Folder.myDocuments + "/test.xlsx");
|
||||
```
|
||||
|
||||
The [`extendscript` demo](demos/extendscript/) includes a more complex example.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in an Electron app</b> (click to show)</summary>
|
||||
|
||||
`readFile` can be used in the renderer process:
|
||||
|
||||
```js
|
||||
/* From the renderer process */
|
||||
var XLSX = require("xlsx");
|
||||
|
||||
var workbook = XLSX.readFile(path);
|
||||
```
|
||||
|
||||
Electron APIs have changed over time. The [`electron` demo](demos/electron/)
|
||||
shows a complete example and details the required version-specific settings.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a mobile app with React Native</b> (click to show)</summary>
|
||||
|
||||
The [`react` demo](demos/react) includes a sample React Native app.
|
||||
|
||||
Since React Native does not provide a way to read files from the filesystem, a
|
||||
third-party library must be used. The following libraries have been tested:
|
||||
|
||||
- [`react-native-file-access`](https://npm.im/react-native-file-access)
|
||||
|
||||
The `base64` encoding returns strings compatible with the `base64` type:
|
||||
|
||||
```js
|
||||
import XLSX from "xlsx";
|
||||
import { FileSystem } from "react-native-file-access";
|
||||
|
||||
const b64 = await FileSystem.readFile(path, "base64");
|
||||
/* b64 is a base64 string */
|
||||
const workbook = XLSX.read(b64, {type: "base64"});
|
||||
```
|
||||
|
||||
- [`react-native-fs`](https://npm.im/react-native-fs)
|
||||
|
||||
The `ascii` encoding returns binary strings compatible with the `binary` type:
|
||||
|
||||
```js
|
||||
import XLSX from "xlsx";
|
||||
import { readFile } from "react-native-fs";
|
||||
|
||||
const bstr = await readFile(path, "ascii");
|
||||
/* bstr is a binary string */
|
||||
const workbook = XLSX.read(bstr, {type: "binary"});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>NodeJS Server File Uploads</b> (click to show)</summary>
|
||||
|
||||
`read` can accept a NodeJS buffer. `readFile` can read files generated by a
|
||||
HTTP POST request body parser like [`formidable`](https://npm.im/formidable):
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const http = require("http");
|
||||
const formidable = require("formidable");
|
||||
|
||||
const server = http.createServer((req, res) => {
|
||||
const form = new formidable.IncomingForm();
|
||||
form.parse(req, (err, fields, files) => {
|
||||
/* grab the first file */
|
||||
const f = Object.entries(files)[0][1];
|
||||
const path = f.filepath;
|
||||
const workbook = XLSX.readFile(path);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
});
|
||||
}).listen(process.env.PORT || 7262);
|
||||
```
|
||||
|
||||
The [`server` demo](demos/server) has more advanced examples.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Download files in a NodeJS process</b> (click to show)</summary>
|
||||
|
||||
Node 17.5 and 18.0 have native support for fetch:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
|
||||
const data = await (await fetch(url)).arrayBuffer();
|
||||
/* data is an ArrayBuffer */
|
||||
const workbook = XLSX.read(data);
|
||||
```
|
||||
|
||||
For broader compatibility, third-party modules are recommended.
|
||||
|
||||
[`request`](https://npm.im/request) requires a `null` encoding to yield Buffers:
|
||||
|
||||
```js
|
||||
var XLSX = require("xlsx");
|
||||
var request = require("request");
|
||||
|
||||
request({url: url, encoding: null}, function(err, resp, body) {
|
||||
var workbook = XLSX.read(body);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
});
|
||||
```
|
||||
|
||||
[`axios`](https://npm.im/axios) works the same way in browser and in NodeJS:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const axios = require("axios");
|
||||
|
||||
(async() => {
|
||||
const res = await axios.get(url, {responseType: "arraybuffer"});
|
||||
/* res.data is a Buffer */
|
||||
const workbook = XLSX.read(res.data);
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
})();
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Download files in an Electron app</b> (click to show)</summary>
|
||||
|
||||
The `net` module in the main process can make HTTP/HTTPS requests to external
|
||||
resources. Responses should be manually concatenated using `Buffer.concat`:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const { net } = require("electron");
|
||||
|
||||
const req = net.request(url);
|
||||
req.on("response", (res) => {
|
||||
const bufs = []; // this array will collect all of the buffers
|
||||
res.on("data", (chunk) => { bufs.push(chunk); });
|
||||
res.on("end", () => {
|
||||
const workbook = XLSX.read(Buffer.concat(bufs));
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
});
|
||||
});
|
||||
req.end();
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Readable Streams in NodeJS</b> (click to show)</summary>
|
||||
|
||||
When dealing with Readable Streams, the easiest approach is to buffer the stream
|
||||
and process the whole thing at the end:
|
||||
|
||||
```js
|
||||
var fs = require("fs");
|
||||
var XLSX = require("xlsx");
|
||||
|
||||
function process_RS(stream, cb) {
|
||||
var buffers = [];
|
||||
stream.on("data", function(data) { buffers.push(data); });
|
||||
stream.on("end", function() {
|
||||
var buffer = Buffer.concat(buffers);
|
||||
var workbook = XLSX.read(buffer, {type:"buffer"});
|
||||
|
||||
/* DO SOMETHING WITH workbook IN THE CALLBACK */
|
||||
cb(workbook);
|
||||
});
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>ReadableStream in the browser</b> (click to show)</summary>
|
||||
|
||||
When dealing with `ReadableStream`, the easiest approach is to buffer the stream
|
||||
and process the whole thing at the end:
|
||||
|
||||
```js
|
||||
// XLSX is a global from the standalone script
|
||||
|
||||
async function process_RS(stream) {
|
||||
/* collect data */
|
||||
const buffers = [];
|
||||
const reader = stream.getReader();
|
||||
for(;;) {
|
||||
const res = await reader.read();
|
||||
if(res.value) buffers.push(res.value);
|
||||
if(res.done) break;
|
||||
}
|
||||
|
||||
/* concat */
|
||||
const out = new Uint8Array(buffers.reduce((acc, v) => acc + v.length, 0));
|
||||
|
||||
let off = 0;
|
||||
for(const u8 of buffers) {
|
||||
out.set(u8, off);
|
||||
off += u8.length;
|
||||
}
|
||||
|
||||
return out;
|
||||
}
|
||||
|
||||
const data = await process_RS(stream);
|
||||
/* data is Uint8Array */
|
||||
const workbook = XLSX.read(data, {type: 'array'});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
More detailed examples are covered in the [included demos](demos/)
|
||||
|
@ -1,336 +0,0 @@
|
||||
### Processing JSON and JS Data
|
||||
|
||||
JSON and JS data tend to represent single worksheets. This section will use a
|
||||
few utility functions to generate workbooks.
|
||||
|
||||
_Create a new Workbook_
|
||||
|
||||
```js
|
||||
var workbook = XLSX.utils.book_new();
|
||||
```
|
||||
|
||||
The `book_new` utility function creates an empty workbook with no worksheets.
|
||||
|
||||
Spreadsheet software generally require at least one worksheet and enforce the
|
||||
requirement in the user interface. This library enforces the requirement at
|
||||
write time, throwing errors if an empty workbook is passed to write functions.
|
||||
|
||||
|
||||
**API**
|
||||
|
||||
_Create a worksheet from an array of arrays of JS values_
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.aoa_to_sheet(aoa, opts);
|
||||
```
|
||||
|
||||
The `aoa_to_sheet` utility function walks an "array of arrays" in row-major
|
||||
order, generating a worksheet object. The following snippet generates a sheet
|
||||
with cell `A1` set to the string `A1`, cell `B1` set to `B1`, etc:
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.aoa_to_sheet([
|
||||
["A1", "B1", "C1"],
|
||||
["A2", "B2", "C2"],
|
||||
["A3", "B3", "C3"]
|
||||
]);
|
||||
```
|
||||
|
||||
["Array of Arrays Input"](#array-of-arrays-input) describes the function and the
|
||||
optional `opts` argument in more detail.
|
||||
|
||||
|
||||
_Create a worksheet from an array of JS objects_
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.json_to_sheet(jsa, opts);
|
||||
```
|
||||
|
||||
The `json_to_sheet` utility function walks an array of JS objects in order,
|
||||
generating a worksheet object. By default, it will generate a header row and
|
||||
one row per object in the array. The optional `opts` argument has settings to
|
||||
control the column order and header output.
|
||||
|
||||
["Array of Objects Input"](#array-of-objects-input) describes the function and
|
||||
the optional `opts` argument in more detail.
|
||||
|
||||
**Examples**
|
||||
|
||||
["Zen of SheetJS"](#the-zen-of-sheetjs) contains a detailed example "Get Data
|
||||
from a JSON Endpoint and Generate a Workbook"
|
||||
|
||||
|
||||
[`x-spreadsheet`](https://github.com/myliang/x-spreadsheet) is an interactive
|
||||
data grid for previewing and modifying structured data in the web browser. The
|
||||
[`xspreadsheet` demo](/demos/xspreadsheet) includes a sample script with the
|
||||
`xtos` function for converting from x-spreadsheet data object to a workbook.
|
||||
<https://oss.sheetjs.com/sheetjs/x-spreadsheet> is a live demo.
|
||||
|
||||
<details>
|
||||
<summary><b>Records from a database query (SQL or no-SQL)</b> (click to show)</summary>
|
||||
|
||||
The [`database` demo](/demos/database/) includes examples of working with
|
||||
databases and query results.
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Numerical Computations with TensorFlow.js</b> (click to show)</summary>
|
||||
|
||||
[`@tensorflow/tfjs`](@tensorflow/tfjs) and other libraries expect data in simple
|
||||
arrays, well-suited for worksheets where each column is a data vector. That is
|
||||
the transpose of how most people use spreadsheets, where each row is a vector.
|
||||
|
||||
When recovering data from `tfjs`, the returned data points are stored in a typed
|
||||
array. An array of arrays can be constructed with loops. `Array#unshift` can
|
||||
prepend a title row before the conversion:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const tf = require('@tensorflow/tfjs');
|
||||
|
||||
/* suppose xs and ys are vectors (1D tensors) -> tfarr will be a typed array */
|
||||
const tfdata = tf.stack([xs, ys]).transpose();
|
||||
const shape = tfdata.shape;
|
||||
const tfarr = tfdata.dataSync();
|
||||
|
||||
/* construct the array of arrays */
|
||||
const aoa = [];
|
||||
for(let j = 0; j < shape[0]; ++j) {
|
||||
aoa[j] = [];
|
||||
for(let i = 0; i < shape[1]; ++i) aoa[j][i] = tfarr[j * shape[1] + i];
|
||||
}
|
||||
/* add headers to the top */
|
||||
aoa.unshift(["x", "y"]);
|
||||
|
||||
/* generate worksheet */
|
||||
const worksheet = XLSX.utils.aoa_to_sheet(aoa);
|
||||
```
|
||||
|
||||
The [`array` demo](demos/array/) shows a complete example.
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
### Processing HTML Tables
|
||||
|
||||
**API**
|
||||
|
||||
_Create a worksheet by scraping an HTML TABLE in the page_
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.table_to_sheet(dom_element, opts);
|
||||
```
|
||||
|
||||
The `table_to_sheet` utility function takes a DOM TABLE element and iterates
|
||||
through the rows to generate a worksheet. The `opts` argument is optional.
|
||||
["HTML Table Input"](#html-table-input) describes the function in more detail.
|
||||
|
||||
|
||||
|
||||
_Create a workbook by scraping an HTML TABLE in the page_
|
||||
|
||||
```js
|
||||
var workbook = XLSX.utils.table_to_book(dom_element, opts);
|
||||
```
|
||||
|
||||
The `table_to_book` utility function follows the same logic as `table_to_sheet`.
|
||||
After generating a worksheet, it creates a blank workbook and appends the
|
||||
spreadsheet.
|
||||
|
||||
The options argument supports the same options as `table_to_sheet`, with the
|
||||
addition of a `sheet` property to control the worksheet name. If the property
|
||||
is missing or no options are specified, the default name `Sheet1` is used.
|
||||
|
||||
**Examples**
|
||||
|
||||
Here are a few common scenarios (click on each subtitle to see the code):
|
||||
|
||||
<details>
|
||||
<summary><b>HTML TABLE element in a webpage</b> (click to show)</summary>
|
||||
|
||||
```html
|
||||
<!-- include the standalone script and shim. this uses the UNPKG CDN -->
|
||||
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/shim.min.js"></script>
|
||||
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js"></script>
|
||||
|
||||
<!-- example table with id attribute -->
|
||||
<table id="tableau">
|
||||
<tr><td>Sheet</td><td>JS</td></tr>
|
||||
<tr><td>12345</td><td>67</td></tr>
|
||||
</table>
|
||||
|
||||
<!-- this block should appear after the table HTML and the standalone script -->
|
||||
<script type="text/javascript">
|
||||
var workbook = XLSX.utils.table_to_book(document.getElementById("tableau"));
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
</script>
|
||||
```
|
||||
|
||||
Multiple tables on a web page can be converted to individual worksheets:
|
||||
|
||||
```js
|
||||
/* create new workbook */
|
||||
var workbook = XLSX.utils.book_new();
|
||||
|
||||
/* convert table "table1" to worksheet named "Sheet1" */
|
||||
var sheet1 = XLSX.utils.table_to_sheet(document.getElementById("table1"));
|
||||
XLSX.utils.book_append_sheet(workbook, sheet1, "Sheet1");
|
||||
|
||||
/* convert table "table2" to worksheet named "Sheet2" */
|
||||
var sheet2 = XLSX.utils.table_to_sheet(document.getElementById("table2"));
|
||||
XLSX.utils.book_append_sheet(workbook, sheet2, "Sheet2");
|
||||
|
||||
/* workbook now has 2 worksheets */
|
||||
```
|
||||
|
||||
Alternatively, the HTML code can be extracted and parsed:
|
||||
|
||||
```js
|
||||
var htmlstr = document.getElementById("tableau").outerHTML;
|
||||
var workbook = XLSX.read(htmlstr, {type:"string"});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Chrome/Chromium Extension</b> (click to show)</summary>
|
||||
|
||||
The [`chrome` demo](demos/chrome/) shows a complete example and details the
|
||||
required permissions and other settings.
|
||||
|
||||
In an extension, it is recommended to generate the workbook in a content script
|
||||
and pass the object back to the extension:
|
||||
|
||||
```js
|
||||
/* in the worker script */
|
||||
chrome.runtime.onMessage.addListener(function(msg, sender, cb) {
|
||||
/* pass a message like { sheetjs: true } from the extension to scrape */
|
||||
if(!msg || !msg.sheetjs) return;
|
||||
/* create a new workbook */
|
||||
var workbook = XLSX.utils.book_new();
|
||||
/* loop through each table element */
|
||||
var tables = document.getElementsByTagName("table")
|
||||
for(var i = 0; i < tables.length; ++i) {
|
||||
var worksheet = XLSX.utils.table_to_sheet(tables[i]);
|
||||
XLSX.utils.book_append_sheet(workbook, worksheet, "Table" + i);
|
||||
}
|
||||
/* pass back to the extension */
|
||||
return cb(workbook);
|
||||
});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Server-Side HTML Tables with Headless Chrome</b> (click to show)</summary>
|
||||
|
||||
The [`headless` demo](demos/headless/) includes a complete demo to convert HTML
|
||||
files to XLSB workbooks. The core idea is to add the script to the page, parse
|
||||
the table in the page context, generate a `base64` workbook and send it back
|
||||
for further processing:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const { readFileSync } = require("fs"), puppeteer = require("puppeteer");
|
||||
|
||||
const url = `https://sheetjs.com/demos/table`;
|
||||
|
||||
/* get the standalone build source (node_modules/xlsx/dist/xlsx.full.min.js) */
|
||||
const lib = readFileSync(require.resolve("xlsx/dist/xlsx.full.min.js"), "utf8");
|
||||
|
||||
(async() => {
|
||||
/* start browser and go to web page */
|
||||
const browser = await puppeteer.launch();
|
||||
const page = await browser.newPage();
|
||||
await page.goto(url, {waitUntil: "networkidle2"});
|
||||
|
||||
/* inject library */
|
||||
await page.addScriptTag({content: lib});
|
||||
|
||||
/* this function `s5s` will be called by the script below, receiving the Base64-encoded file */
|
||||
await page.exposeFunction("s5s", async(b64) => {
|
||||
const workbook = XLSX.read(b64, {type: "base64" });
|
||||
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
});
|
||||
|
||||
/* generate XLSB file in webpage context and send back result */
|
||||
await page.addScriptTag({content: `
|
||||
/* call table_to_book on first table */
|
||||
var workbook = XLSX.utils.table_to_book(document.querySelector("TABLE"));
|
||||
|
||||
/* generate XLSX file */
|
||||
var b64 = XLSX.write(workbook, {type: "base64", bookType: "xlsb"});
|
||||
|
||||
/* call "s5s" hook exposed from the node process */
|
||||
window.s5s(b64);
|
||||
`});
|
||||
|
||||
/* cleanup */
|
||||
await browser.close();
|
||||
})();
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Server-Side HTML Tables with Headless WebKit</b> (click to show)</summary>
|
||||
|
||||
The [`headless` demo](demos/headless/) includes a complete demo to convert HTML
|
||||
files to XLSB workbooks using [PhantomJS](https://phantomjs.org/). The core idea
|
||||
is to add the script to the page, parse the table in the page context, generate
|
||||
a `binary` workbook and send it back for further processing:
|
||||
|
||||
```js
|
||||
var XLSX = require('xlsx');
|
||||
var page = require('webpage').create();
|
||||
|
||||
/* this code will be run in the page */
|
||||
var code = [ "function(){",
|
||||
/* call table_to_book on first table */
|
||||
"var wb = XLSX.utils.table_to_book(document.body.getElementsByTagName('table')[0]);",
|
||||
|
||||
/* generate XLSB file and return binary string */
|
||||
"return XLSX.write(wb, {type: 'binary', bookType: 'xlsb'});",
|
||||
"}" ].join("");
|
||||
|
||||
page.open('https://sheetjs.com/demos/table', function() {
|
||||
/* Load the browser script from the UNPKG CDN */
|
||||
page.includeJs("https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js", function() {
|
||||
/* The code will return an XLSB file encoded as binary string */
|
||||
var bin = page.evaluateJavaScript(code);
|
||||
|
||||
var workbook = XLSX.read(bin, {type: "binary"});
|
||||
/* DO SOMETHING WITH workbook HERE */
|
||||
|
||||
phantom.exit();
|
||||
});
|
||||
});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>NodeJS HTML Tables without a browser</b> (click to show)</summary>
|
||||
|
||||
NodeJS does not include a DOM implementation and Puppeteer requires a hefty
|
||||
Chromium build. [`jsdom`](https://npm.im/jsdom) is a lightweight alternative:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const { readFileSync } = require("fs");
|
||||
const { JSDOM } = require("jsdom");
|
||||
|
||||
/* obtain HTML string. This example reads from test.html */
|
||||
const html_str = fs.readFileSync("test.html", "utf8");
|
||||
/* get first TABLE element */
|
||||
const doc = new JSDOM(html_str).window.document.querySelector("table");
|
||||
/* generate workbook */
|
||||
const workbook = XLSX.utils.table_to_book(doc);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -1,136 +0,0 @@
|
||||
## Processing Data
|
||||
|
||||
The ["Common Spreadsheet Format"](#common-spreadsheet-format) is a simple object
|
||||
representation of the core concepts of a workbook. The utility functions work
|
||||
with the object representation and are intended to handle common use cases.
|
||||
|
||||
### Modifying Workbook Structure
|
||||
|
||||
**API**
|
||||
|
||||
_Append a Worksheet to a Workbook_
|
||||
|
||||
```js
|
||||
XLSX.utils.book_append_sheet(workbook, worksheet, sheet_name);
|
||||
```
|
||||
|
||||
The `book_append_sheet` utility function appends a worksheet to the workbook.
|
||||
The third argument specifies the desired worksheet name. Multiple worksheets can
|
||||
be added to a workbook by calling the function multiple times. If the worksheet
|
||||
name is already used in the workbook, it will throw an error.
|
||||
|
||||
_Append a Worksheet to a Workbook and find a unique name_
|
||||
|
||||
```js
|
||||
var new_name = XLSX.utils.book_append_sheet(workbook, worksheet, name, true);
|
||||
```
|
||||
|
||||
If the fourth argument is `true`, the function will start with the specified
|
||||
worksheet name. If the sheet name exists in the workbook, a new worksheet name
|
||||
will be chosen by finding the name stem and incrementing the counter:
|
||||
|
||||
```js
|
||||
XLSX.utils.book_append_sheet(workbook, sheetA, "Sheet2", true); // Sheet2
|
||||
XLSX.utils.book_append_sheet(workbook, sheetB, "Sheet2", true); // Sheet3
|
||||
XLSX.utils.book_append_sheet(workbook, sheetC, "Sheet2", true); // Sheet4
|
||||
XLSX.utils.book_append_sheet(workbook, sheetD, "Sheet2", true); // Sheet5
|
||||
```
|
||||
|
||||
_List the Worksheet names in tab order_
|
||||
|
||||
```js
|
||||
var wsnames = workbook.SheetNames;
|
||||
```
|
||||
|
||||
The `SheetNames` property of the workbook object is a list of the worksheet
|
||||
names in "tab order". API functions will look at this array.
|
||||
|
||||
_Replace a Worksheet in place_
|
||||
|
||||
```js
|
||||
workbook.Sheets[sheet_name] = new_worksheet;
|
||||
```
|
||||
|
||||
The `Sheets` property of the workbook object is an object whose keys are names
|
||||
and whose values are worksheet objects. By reassigning to a property of the
|
||||
`Sheets` object, the worksheet object can be changed without disrupting the
|
||||
rest of the worksheet structure.
|
||||
|
||||
**Examples**
|
||||
|
||||
<details>
|
||||
<summary><b>Add a new worksheet to a workbook</b> (click to show)</summary>
|
||||
|
||||
This example uses [`XLSX.utils.aoa_to_sheet`](#array-of-arrays-input).
|
||||
|
||||
```js
|
||||
var ws_name = "SheetJS";
|
||||
|
||||
/* Create worksheet */
|
||||
var ws_data = [
|
||||
[ "S", "h", "e", "e", "t", "J", "S" ],
|
||||
[ 1 , 2 , 3 , 4 , 5 ]
|
||||
];
|
||||
var ws = XLSX.utils.aoa_to_sheet(ws_data);
|
||||
|
||||
/* Add the worksheet to the workbook */
|
||||
XLSX.utils.book_append_sheet(wb, ws, ws_name);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Modifying Cell Values
|
||||
|
||||
**API**
|
||||
|
||||
_Modify a single cell value in a worksheet_
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_add_aoa(worksheet, [[new_value]], { origin: address });
|
||||
```
|
||||
|
||||
_Modify multiple cell values in a worksheet_
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_add_aoa(worksheet, aoa, opts);
|
||||
```
|
||||
|
||||
The `sheet_add_aoa` utility function modifies cell values in a worksheet. The
|
||||
first argument is the worksheet object. The second argument is an array of
|
||||
arrays of values. The `origin` key of the third argument controls where cells
|
||||
will be written. The following snippet sets `B3=1` and `E5="abc"`:
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_add_aoa(worksheet, [
|
||||
[1], // <-- Write 1 to cell B3
|
||||
, // <-- Do nothing in row 4
|
||||
[/*B5*/, /*C5*/, /*D5*/, "abc"] // <-- Write "abc" to cell E5
|
||||
], { origin: "B3" });
|
||||
```
|
||||
|
||||
["Array of Arrays Input"](#array-of-arrays-input) describes the function and the
|
||||
optional `opts` argument in more detail.
|
||||
|
||||
**Examples**
|
||||
|
||||
<details>
|
||||
<summary><b>Appending rows to a worksheet</b> (click to show)</summary>
|
||||
|
||||
The special origin value `-1` instructs `sheet_add_aoa` to start in column A of
|
||||
the row after the last row in the range, appending the data:
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_add_aoa(worksheet, [
|
||||
["first row after data", 1],
|
||||
["second row after data", 2]
|
||||
], { origin: -1 });
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
### Modifying Other Worksheet / Workbook / Cell Properties
|
||||
|
||||
The ["Common Spreadsheet Format"](#common-spreadsheet-format) section describes
|
||||
the object structures in greater detail.
|
||||
|
@ -1,317 +0,0 @@
|
||||
## Packaging and Releasing Data
|
||||
|
||||
### Writing Workbooks
|
||||
|
||||
**API**
|
||||
|
||||
_Generate spreadsheet bytes (file) from data_
|
||||
|
||||
```js
|
||||
var data = XLSX.write(workbook, opts);
|
||||
```
|
||||
|
||||
The `write` method attempts to package data from the workbook into a file in
|
||||
memory. By default, XLSX files are generated, but that can be controlled with
|
||||
the `bookType` property of the `opts` argument. Based on the `type` option,
|
||||
the data can be stored as a "binary string", JS string, `Uint8Array` or Buffer.
|
||||
|
||||
The second `opts` argument is required. ["Writing Options"](#writing-options)
|
||||
covers the supported properties and behaviors.
|
||||
|
||||
_Generate and attempt to save file_
|
||||
|
||||
```js
|
||||
XLSX.writeFile(workbook, filename, opts);
|
||||
```
|
||||
|
||||
The `writeFile` method packages the data and attempts to save the new file. The
|
||||
export file format is determined by the extension of `filename` (`SheetJS.xlsx`
|
||||
signals XLSX export, `SheetJS.xlsb` signals XLSB export, etc).
|
||||
|
||||
The `writeFile` method uses platform-specific APIs to initiate the file save. In
|
||||
NodeJS, `fs.readFileSync` can create a file. In the web browser, a download is
|
||||
attempted using the HTML5 `download` attribute, with fallbacks for IE.
|
||||
|
||||
_Generate and attempt to save an XLSX file_
|
||||
|
||||
```js
|
||||
XLSX.writeFileXLSX(workbook, filename, opts);
|
||||
```
|
||||
|
||||
The `writeFile` method embeds a number of different export functions. This is
|
||||
great for developer experience but not amenable to tree shaking using the
|
||||
current developer tools. When only XLSX exports are needed, this method avoids
|
||||
referencing the other export functions.
|
||||
|
||||
The second `opts` argument is optional. ["Writing Options"](#writing-options)
|
||||
covers the supported properties and behaviors.
|
||||
|
||||
**Examples**
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a NodeJS server</b> (click to show)</summary>
|
||||
|
||||
`writeFile` uses `fs.writeFileSync` in server environments:
|
||||
|
||||
```js
|
||||
var XLSX = require("xlsx");
|
||||
|
||||
/* output format determined by filename */
|
||||
XLSX.writeFile(workbook, "out.xlsb");
|
||||
```
|
||||
|
||||
For Node ESM, the `writeFile` helper is not enabled. Instead, `fs.writeFileSync`
|
||||
should be used to write the file data to a `Buffer` for use with `XLSX.write`:
|
||||
|
||||
```js
|
||||
import { writeFileSync } from "fs";
|
||||
import { write } from "xlsx/xlsx.mjs";
|
||||
|
||||
const buf = write(workbook, {type: "buffer", bookType: "xlsb"});
|
||||
/* buf is a Buffer */
|
||||
const workbook = writeFileSync("out.xlsb", buf);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a Deno application</b> (click to show)</summary>
|
||||
|
||||
`writeFile` uses `Deno.writeFileSync` under the hood:
|
||||
|
||||
```js
|
||||
// @deno-types="https://deno.land/x/sheetjs/types/index.d.ts"
|
||||
import * as XLSX from 'https://deno.land/x/sheetjs/xlsx.mjs'
|
||||
|
||||
XLSX.writeFile(workbook, "test.xlsx");
|
||||
```
|
||||
|
||||
Applications writing files must be invoked with the `--allow-write` flag. The
|
||||
[`deno` demo](demos/deno/) has more examples
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Local file in a PhotoShop or InDesign plugin</b> (click to show)</summary>
|
||||
|
||||
`writeFile` wraps the `File` logic in Photoshop and other ExtendScript targets.
|
||||
The specified path should be an absolute path:
|
||||
|
||||
```js
|
||||
#include "xlsx.extendscript.js"
|
||||
|
||||
/* output format determined by filename */
|
||||
XLSX.writeFile(workbook, "out.xlsx");
|
||||
/* at this point, out.xlsx is a file that you can distribute */
|
||||
```
|
||||
|
||||
The [`extendscript` demo](demos/extendscript/) includes a more complex example.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Download a file in the browser to the user machine</b> (click to show)</summary>
|
||||
|
||||
`XLSX.writeFile` wraps a few techniques for triggering a file save:
|
||||
|
||||
- `URL` browser API creates an object URL for the file, which the library uses
|
||||
by creating a link and forcing a click. It is supported in modern browsers.
|
||||
- `msSaveBlob` is an IE10+ API for triggering a file save.
|
||||
- `IE_FileSave` uses VBScript and ActiveX to write a file in IE6+ for Windows
|
||||
XP and Windows 7. The shim must be included in the containing HTML page.
|
||||
|
||||
There is no standard way to determine if the actual file has been downloaded.
|
||||
|
||||
```js
|
||||
/* output format determined by filename */
|
||||
XLSX.writeFile(workbook, "out.xlsb");
|
||||
/* at this point, out.xlsb will have been downloaded */
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Download a file in legacy browsers</b> (click to show)</summary>
|
||||
|
||||
`XLSX.writeFile` techniques work for most modern browsers as well as older IE.
|
||||
For much older browsers, there are workarounds implemented by wrapper libraries.
|
||||
|
||||
[`FileSaver.js`](https://github.com/eligrey/FileSaver.js/) implements `saveAs`.
|
||||
Note: `XLSX.writeFile` will automatically call `saveAs` if available.
|
||||
|
||||
```js
|
||||
/* bookType can be any supported output type */
|
||||
var wopts = { bookType:"xlsx", bookSST:false, type:"array" };
|
||||
|
||||
var wbout = XLSX.write(workbook,wopts);
|
||||
|
||||
/* the saveAs call downloads a file on the local machine */
|
||||
saveAs(new Blob([wbout],{type:"application/octet-stream"}), "test.xlsx");
|
||||
```
|
||||
|
||||
[`Downloadify`](https://github.com/dcneiner/downloadify) uses a Flash SWF button
|
||||
to generate local files, suitable for environments where ActiveX is unavailable:
|
||||
|
||||
```js
|
||||
Downloadify.create(id,{
|
||||
/* other options are required! read the downloadify docs for more info */
|
||||
filename: "test.xlsx",
|
||||
data: function() { return XLSX.write(wb, {bookType:"xlsx", type:"base64"}); },
|
||||
append: false,
|
||||
dataType: "base64"
|
||||
});
|
||||
```
|
||||
|
||||
The [`oldie` demo](demos/oldie/) shows an IE-compatible fallback scenario.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Browser upload file (ajax)</b> (click to show)</summary>
|
||||
|
||||
A complete example using XHR is [included in the XHR demo](demos/xhr/), along
|
||||
with examples for fetch and wrapper libraries. This example assumes the server
|
||||
can handle Base64-encoded files (see the demo for a basic nodejs server):
|
||||
|
||||
```js
|
||||
/* in this example, send a base64 string to the server */
|
||||
var wopts = { bookType:"xlsx", bookSST:false, type:"base64" };
|
||||
|
||||
var wbout = XLSX.write(workbook,wopts);
|
||||
|
||||
var req = new XMLHttpRequest();
|
||||
req.open("POST", "/upload", true);
|
||||
var formdata = new FormData();
|
||||
formdata.append("file", "test.xlsx"); // <-- server expects `file` to hold name
|
||||
formdata.append("data", wbout); // <-- `data` holds the base64-encoded data
|
||||
req.send(formdata);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>PhantomJS (Headless Webkit) File Generation</b> (click to show)</summary>
|
||||
|
||||
The [`headless` demo](demos/headless/) includes a complete demo to convert HTML
|
||||
files to XLSB workbooks using [PhantomJS](https://phantomjs.org/). PhantomJS
|
||||
`fs.write` supports writing files from the main process but has a different
|
||||
interface from the NodeJS `fs` module:
|
||||
|
||||
```js
|
||||
var XLSX = require('xlsx');
|
||||
var fs = require('fs');
|
||||
|
||||
/* generate a binary string */
|
||||
var bin = XLSX.write(workbook, { type:"binary", bookType: "xlsx" });
|
||||
/* write to file */
|
||||
fs.write("test.xlsx", bin, "wb");
|
||||
```
|
||||
|
||||
Note: The section ["Processing HTML Tables"](#processing-html-tables) shows how
|
||||
to generate a workbook from HTML tables in a page in "Headless WebKit".
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
|
||||
The [included demos](demos/) cover mobile apps and other special deployments.
|
||||
|
||||
### Writing Examples
|
||||
|
||||
- <http://sheetjs.com/demos/table.html> exporting an HTML table
|
||||
- <http://sheetjs.com/demos/writexlsx.html> generates a simple file
|
||||
|
||||
### Streaming Write
|
||||
|
||||
The streaming write functions are available in the `XLSX.stream` object. They
|
||||
take the same arguments as the normal write functions but return a NodeJS
|
||||
Readable Stream.
|
||||
|
||||
- `XLSX.stream.to_csv` is the streaming version of `XLSX.utils.sheet_to_csv`.
|
||||
- `XLSX.stream.to_html` is the streaming version of `XLSX.utils.sheet_to_html`.
|
||||
- `XLSX.stream.to_json` is the streaming version of `XLSX.utils.sheet_to_json`.
|
||||
|
||||
<details>
|
||||
<summary><b>nodejs convert to CSV and write file</b> (click to show)</summary>
|
||||
|
||||
```js
|
||||
var output_file_name = "out.csv";
|
||||
var stream = XLSX.stream.to_csv(worksheet);
|
||||
stream.pipe(fs.createWriteStream(output_file_name));
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>nodejs write JSON stream to screen</b> (click to show)</summary>
|
||||
|
||||
```js
|
||||
/* to_json returns an object-mode stream */
|
||||
var stream = XLSX.stream.to_json(worksheet, {raw:true});
|
||||
|
||||
/* the following stream converts JS objects to text via JSON.stringify */
|
||||
var conv = new Transform({writableObjectMode:true});
|
||||
conv._transform = function(obj, e, cb){ cb(null, JSON.stringify(obj) + "\n"); };
|
||||
|
||||
stream.pipe(conv); conv.pipe(process.stdout);
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Exporting NUMBERS files</b> (click to show)</summary>
|
||||
|
||||
The NUMBERS writer requires a fairly large base. The supplementary `xlsx.zahl`
|
||||
scripts provide support. `xlsx.zahl.js` is designed for standalone and NodeJS
|
||||
use, while `xlsx.zahl.mjs` is suitable for ESM.
|
||||
|
||||
_Browser_
|
||||
|
||||
```html
|
||||
<meta charset="utf8">
|
||||
<script src="xlsx.full.min.js"></script>
|
||||
<script src="xlsx.zahl.js"></script>
|
||||
<script>
|
||||
var wb = XLSX.utils.book_new(); var ws = XLSX.utils.aoa_to_sheet([
|
||||
["SheetJS", "<3","விரிதாள்"],
|
||||
[72,,"Arbeitsblätter"],
|
||||
[,62,"数据"],
|
||||
[true,false,],
|
||||
]); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
|
||||
XLSX.writeFile(wb, "textport.numbers", {numbers: XLSX_ZAHL, compression: true});
|
||||
</script>
|
||||
```
|
||||
|
||||
_Node_
|
||||
|
||||
```js
|
||||
var XLSX = require("./xlsx.flow");
|
||||
var XLSX_ZAHL = require("./dist/xlsx.zahl");
|
||||
var wb = XLSX.utils.book_new(); var ws = XLSX.utils.aoa_to_sheet([
|
||||
["SheetJS", "<3","விரிதாள்"],
|
||||
[72,,"Arbeitsblätter"],
|
||||
[,62,"数据"],
|
||||
[true,false,],
|
||||
]); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
|
||||
XLSX.writeFile(wb, "textport.numbers", {numbers: XLSX_ZAHL, compression: true});
|
||||
```
|
||||
|
||||
_Deno_
|
||||
|
||||
```ts
|
||||
import * as XLSX from './xlsx.mjs';
|
||||
import XLSX_ZAHL from './dist/xlsx.zahl.mjs';
|
||||
|
||||
var wb = XLSX.utils.book_new(); var ws = XLSX.utils.aoa_to_sheet([
|
||||
["SheetJS", "<3","விரிதாள்"],
|
||||
[72,,"Arbeitsblätter"],
|
||||
[,62,"数据"],
|
||||
[true,false,],
|
||||
]); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
|
||||
XLSX.writeFile(wb, "textports.numbers", {numbers: XLSX_ZAHL, compression: true});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<https://github.com/sheetjs/sheetaki> pipes write streams to nodejs response.
|
||||
|
@ -1,304 +0,0 @@
|
||||
### Generating JSON and JS Data
|
||||
|
||||
JSON and JS data tend to represent single worksheets. The utility functions in
|
||||
this section work with single worksheets.
|
||||
|
||||
The ["Common Spreadsheet Format"](#common-spreadsheet-format) section describes
|
||||
the object structure in more detail. `workbook.SheetNames` is an ordered list
|
||||
of the worksheet names. `workbook.Sheets` is an object whose keys are sheet
|
||||
names and whose values are worksheet objects.
|
||||
|
||||
The "first worksheet" is stored at `workbook.Sheets[workbook.SheetNames[0]]`.
|
||||
|
||||
**API**
|
||||
|
||||
_Create an array of JS objects from a worksheet_
|
||||
|
||||
```js
|
||||
var jsa = XLSX.utils.sheet_to_json(worksheet, opts);
|
||||
```
|
||||
|
||||
_Create an array of arrays of JS values from a worksheet_
|
||||
|
||||
```js
|
||||
var aoa = XLSX.utils.sheet_to_json(worksheet, {...opts, header: 1});
|
||||
```
|
||||
|
||||
The `sheet_to_json` utility function walks a workbook in row-major order,
|
||||
generating an array of objects. The second `opts` argument controls a number of
|
||||
export decisions including the type of values (JS values or formatted text). The
|
||||
["JSON"](#json) section describes the argument in more detail.
|
||||
|
||||
By default, `sheet_to_json` scans the first row and uses the values as headers.
|
||||
With the `header: 1` option, the function exports an array of arrays of values.
|
||||
|
||||
**Examples**
|
||||
|
||||
[`x-spreadsheet`](https://github.com/myliang/x-spreadsheet) is an interactive
|
||||
data grid for previewing and modifying structured data in the web browser. The
|
||||
[`xspreadsheet` demo](/demos/xspreadsheet) includes a sample script with the
|
||||
`stox` function for converting from a workbook to x-spreadsheet data object.
|
||||
<https://oss.sheetjs.com/sheetjs/x-spreadsheet> is a live demo.
|
||||
|
||||
<details>
|
||||
<summary><b>Previewing data in a React data grid</b> (click to show)</summary>
|
||||
|
||||
[`react-data-grid`](https://npm.im/react-data-grid) is a data grid tailored for
|
||||
react. It expects two properties: `rows` of data objects and `columns` which
|
||||
describe the columns. For the purposes of massaging the data to fit the react
|
||||
data grid API it is easiest to start from an array of arrays.
|
||||
|
||||
This demo starts by fetching a remote file and using `XLSX.read` to extract:
|
||||
|
||||
```js
|
||||
import { useEffect, useState } from "react";
|
||||
import DataGrid from "react-data-grid";
|
||||
import { read, utils } from "xlsx";
|
||||
|
||||
const url = "https://oss.sheetjs.com/test_files/RkNumber.xls";
|
||||
|
||||
export default function App() {
|
||||
const [columns, setColumns] = useState([]);
|
||||
const [rows, setRows] = useState([]);
|
||||
useEffect(() => {(async () => {
|
||||
const wb = read(await (await fetch(url)).arrayBuffer(), { WTF: 1 });
|
||||
|
||||
/* use sheet_to_json with header: 1 to generate an array of arrays */
|
||||
const data = utils.sheet_to_json(wb.Sheets[wb.SheetNames[0]], { header: 1 });
|
||||
|
||||
/* see react-data-grid docs to understand the shape of the expected data */
|
||||
setColumns(data[0].map((r) => ({ key: r, name: r })));
|
||||
setRows(data.slice(1).map((r) => r.reduce((acc, x, i) => {
|
||||
acc[data[0][i]] = x;
|
||||
return acc;
|
||||
}, {})));
|
||||
})(); });
|
||||
|
||||
return <DataGrid columns={columns} rows={rows} />;
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Previewing data in a VueJS data grid</b> (click to show)</summary>
|
||||
|
||||
[`vue3-table-lite`](https://github.com/linmasahiro/vue3-table-lite) is a simple
|
||||
VueJS 3 data table. It is featured [in the VueJS demo](/demos/vue/modify/).
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Populating a database (SQL or no-SQL)</b> (click to show)</summary>
|
||||
|
||||
The [`database` demo](/demos/database/) includes examples of working with
|
||||
databases and query results.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Numerical Computations with TensorFlow.js</b> (click to show)</summary>
|
||||
|
||||
[`@tensorflow/tfjs`](@tensorflow/tfjs) and other libraries expect data in simple
|
||||
arrays, well-suited for worksheets where each column is a data vector. That is
|
||||
the transpose of how most people use spreadsheets, where each row is a vector.
|
||||
|
||||
A single `Array#map` can pull individual named rows from `sheet_to_json` export:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const tf = require('@tensorflow/tfjs');
|
||||
|
||||
const key = "age"; // this is the field we want to pull
|
||||
const ages = XLSX.utils.sheet_to_json(worksheet).map(r => r[key]);
|
||||
const tf_data = tf.tensor1d(ages);
|
||||
```
|
||||
|
||||
All fields can be processed at once using a transpose of the 2D tensor generated
|
||||
with the `sheet_to_json` export with `header: 1`. The first row, if it contains
|
||||
header labels, should be removed with a slice:
|
||||
|
||||
```js
|
||||
const XLSX = require("xlsx");
|
||||
const tf = require('@tensorflow/tfjs');
|
||||
|
||||
/* array of arrays of the data starting on the second row */
|
||||
const aoa = XLSX.utils.sheet_to_json(worksheet, {header: 1}).slice(1);
|
||||
/* dataset in the "correct orientation" */
|
||||
const tf_dataset = tf.tensor2d(aoa).transpose();
|
||||
/* pull out each dataset with a slice */
|
||||
const tf_field0 = tf_dataset.slice([0,0], [1,tensor.shape[1]]).flatten();
|
||||
const tf_field1 = tf_dataset.slice([1,0], [1,tensor.shape[1]]).flatten();
|
||||
```
|
||||
|
||||
The [`array` demo](demos/array/) shows a complete example.
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
### Generating HTML Tables
|
||||
|
||||
**API**
|
||||
|
||||
_Generate HTML Table from Worksheet_
|
||||
|
||||
```js
|
||||
var html = XLSX.utils.sheet_to_html(worksheet);
|
||||
```
|
||||
|
||||
The `sheet_to_html` utility function generates HTML code based on the worksheet
|
||||
data. Each cell in the worksheet is mapped to a `<TD>` element. Merged cells
|
||||
in the worksheet are serialized by setting `colspan` and `rowspan` attributes.
|
||||
|
||||
**Examples**
|
||||
|
||||
The `sheet_to_html` utility function generates HTML code that can be added to
|
||||
any DOM element by setting the `innerHTML`:
|
||||
|
||||
```js
|
||||
var container = document.getElementById("tavolo");
|
||||
container.innerHTML = XLSX.utils.sheet_to_html(worksheet);
|
||||
```
|
||||
|
||||
Combining with `fetch`, constructing a site from a workbook is straightforward:
|
||||
|
||||
<details>
|
||||
<summary><b>Vanilla JS + HTML fetch workbook and generate table previews</b> (click to show)</summary>
|
||||
|
||||
```html
|
||||
<body>
|
||||
<style>TABLE { border-collapse: collapse; } TD { border: 1px solid; }</style>
|
||||
<div id="tavolo"></div>
|
||||
<script src="https://cdn.sheetjs.com/xlsx-latest/package/dist/xlsx.full.min.js"></script>
|
||||
<script type="text/javascript">
|
||||
(async() => {
|
||||
/* fetch and parse workbook -- see the fetch example for details */
|
||||
const workbook = XLSX.read(await (await fetch("sheetjs.xlsx")).arrayBuffer());
|
||||
|
||||
let output = [];
|
||||
/* loop through the worksheet names in order */
|
||||
workbook.SheetNames.forEach(name => {
|
||||
|
||||
/* generate HTML from the corresponding worksheets */
|
||||
const worksheet = workbook.Sheets[name];
|
||||
const html = XLSX.utils.sheet_to_html(worksheet);
|
||||
|
||||
/* add a header with the title name followed by the table */
|
||||
output.push(`<H3>${name}</H3>${html}`);
|
||||
});
|
||||
/* write to the DOM at the end */
|
||||
tavolo.innerHTML = output.join("\n");
|
||||
})();
|
||||
</script>
|
||||
</body>
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>React fetch workbook and generate HTML table previews</b> (click to show)</summary>
|
||||
|
||||
It is generally recommended to use a React-friendly workflow, but it is possible
|
||||
to generate HTML and use it in React with `dangerouslySetInnerHTML`:
|
||||
|
||||
```jsx
|
||||
function Tabeller(props) {
|
||||
/* the workbook object is the state */
|
||||
const [workbook, setWorkbook] = React.useState(XLSX.utils.book_new());
|
||||
|
||||
/* fetch and update the workbook with an effect */
|
||||
React.useEffect(() => { (async() => {
|
||||
/* fetch and parse workbook -- see the fetch example for details */
|
||||
const wb = XLSX.read(await (await fetch("sheetjs.xlsx")).arrayBuffer());
|
||||
setWorkbook(wb);
|
||||
})(); });
|
||||
|
||||
return workbook.SheetNames.map(name => (<>
|
||||
<h3>name</h3>
|
||||
<div dangerouslySetInnerHTML={{
|
||||
/* this __html mantra is needed to set the inner HTML */
|
||||
__html: XLSX.utils.sheet_to_html(workbook.Sheets[name])
|
||||
}} />
|
||||
</>));
|
||||
}
|
||||
```
|
||||
|
||||
The [`react` demo](demos/react) includes more React examples.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>VueJS fetch workbook and generate HTML table previews</b> (click to show)</summary>
|
||||
|
||||
It is generally recommended to use a VueJS-friendly workflow, but it is possible
|
||||
to generate HTML and use it in VueJS with the `v-html` directive:
|
||||
|
||||
```jsx
|
||||
import { read, utils } from 'xlsx';
|
||||
import { reactive } from 'vue';
|
||||
|
||||
const S5SComponent = {
|
||||
mounted() { (async() => {
|
||||
/* fetch and parse workbook -- see the fetch example for details */
|
||||
const workbook = read(await (await fetch("sheetjs.xlsx")).arrayBuffer());
|
||||
/* loop through the worksheet names in order */
|
||||
workbook.SheetNames.forEach(name => {
|
||||
/* generate HTML from the corresponding worksheets */
|
||||
const html = utils.sheet_to_html(workbook.Sheets[name]);
|
||||
/* add to state */
|
||||
this.wb.wb.push({ name, html });
|
||||
});
|
||||
})(); },
|
||||
/* this state mantra is required for array updates to work */
|
||||
setup() { return { wb: reactive({ wb: [] }) }; },
|
||||
template: `
|
||||
<div v-for="ws in wb.wb" :key="ws.name">
|
||||
<h3>{{ ws.name }}</h3>
|
||||
<div v-html="ws.html"></div>
|
||||
</div>`
|
||||
};
|
||||
```
|
||||
|
||||
The [`vuejs` demo](demos/vue) includes more React examples.
|
||||
|
||||
</details>
|
||||
|
||||
### Generating Single-Worksheet Snapshots
|
||||
|
||||
The `sheet_to_*` functions accept a worksheet object.
|
||||
|
||||
**API**
|
||||
|
||||
_Generate a CSV from a single worksheet_
|
||||
|
||||
```js
|
||||
var csv = XLSX.utils.sheet_to_csv(worksheet, opts);
|
||||
```
|
||||
|
||||
This snapshot is designed to replicate the "CSV UTF8 (`.csv`)" output type.
|
||||
["Delimiter-Separated Output"](#delimiter-separated-output) describes the
|
||||
function and the optional `opts` argument in more detail.
|
||||
|
||||
_Generate "Text" from a single worksheet_
|
||||
|
||||
```js
|
||||
var txt = XLSX.utils.sheet_to_txt(worksheet, opts);
|
||||
```
|
||||
|
||||
This snapshot is designed to replicate the "UTF16 Text (`.txt`)" output type.
|
||||
["Delimiter-Separated Output"](#delimiter-separated-output) describes the
|
||||
function and the optional `opts` argument in more detail.
|
||||
|
||||
_Generate a list of formulae from a single worksheet_
|
||||
|
||||
```js
|
||||
var fmla = XLSX.utils.sheet_to_formulae(worksheet);
|
||||
```
|
||||
|
||||
This snapshot generates an array of entries representing the embedded formulae.
|
||||
Array formulae are rendered in the form `range=formula` while plain cells are
|
||||
rendered in the form `cell=formula or value`. String literals are prefixed with
|
||||
an apostrophe `'`, consistent with Excel's formula bar display.
|
||||
|
||||
["Formulae Output"](#formulae-output) describes the function in more detail.
|
||||
|
@ -1,66 +0,0 @@
|
||||
## Interface
|
||||
|
||||
`XLSX` is the exposed variable in the browser and the exported node variable
|
||||
|
||||
`XLSX.version` is the version of the library (added by the build script).
|
||||
|
||||
`XLSX.SSF` is an embedded version of the [format library](https://github.com/SheetJS/ssf).
|
||||
|
||||
### Parsing functions
|
||||
|
||||
`XLSX.read(data, read_opts)` attempts to parse `data`.
|
||||
|
||||
`XLSX.readFile(filename, read_opts)` attempts to read `filename` and parse.
|
||||
|
||||
Parse options are described in the [Parsing Options](#parsing-options) section.
|
||||
|
||||
### Writing functions
|
||||
|
||||
`XLSX.write(wb, write_opts)` attempts to write the workbook `wb`
|
||||
|
||||
`XLSX.writeFile(wb, filename, write_opts)` attempts to write `wb` to `filename`.
|
||||
In browser-based environments, it will attempt to force a client-side download.
|
||||
|
||||
`XLSX.writeFileAsync(filename, wb, o, cb)` attempts to write `wb` to `filename`.
|
||||
If `o` is omitted, the writer will use the third argument as the callback.
|
||||
|
||||
`XLSX.stream` contains a set of streaming write functions.
|
||||
|
||||
Write options are described in the [Writing Options](#writing-options) section.
|
||||
|
||||
### Utilities
|
||||
|
||||
Utilities are available in the `XLSX.utils` object and are described in the
|
||||
[Utility Functions](#utility-functions) section:
|
||||
|
||||
**Constructing:**
|
||||
|
||||
- `book_new` creates an empty workbook
|
||||
- `book_append_sheet` adds a worksheet to a workbook
|
||||
|
||||
**Importing:**
|
||||
|
||||
- `aoa_to_sheet` converts an array of arrays of JS data to a worksheet.
|
||||
- `json_to_sheet` converts an array of JS objects to a worksheet.
|
||||
- `table_to_sheet` converts a DOM TABLE element to a worksheet.
|
||||
- `sheet_add_aoa` adds an array of arrays of JS data to an existing worksheet.
|
||||
- `sheet_add_json` adds an array of JS objects to an existing worksheet.
|
||||
|
||||
|
||||
**Exporting:**
|
||||
|
||||
- `sheet_to_json` converts a worksheet object to an array of JSON objects.
|
||||
- `sheet_to_csv` generates delimiter-separated-values output.
|
||||
- `sheet_to_txt` generates UTF16 formatted text.
|
||||
- `sheet_to_html` generates HTML output.
|
||||
- `sheet_to_formulae` generates a list of the formulae (with value fallbacks).
|
||||
|
||||
|
||||
**Cell and cell address manipulation:**
|
||||
|
||||
- `format_cell` generates the text value for a cell (using number formats).
|
||||
- `encode_row / decode_row` converts between 0-indexed rows and 1-indexed rows.
|
||||
- `encode_col / decode_col` converts between 0-indexed columns and column names.
|
||||
- `encode_cell / decode_cell` converts cell addresses.
|
||||
- `encode_range / decode_range` converts cell ranges.
|
||||
|
@ -1,25 +0,0 @@
|
||||
## Common Spreadsheet Format
|
||||
|
||||
SheetJS conforms to the Common Spreadsheet Format (CSF):
|
||||
|
||||
### General Structures
|
||||
|
||||
Cell address objects are stored as `{c:C, r:R}` where `C` and `R` are 0-indexed
|
||||
column and row numbers, respectively. For example, the cell address `B5` is
|
||||
represented by the object `{c:1, r:4}`.
|
||||
|
||||
Cell range objects are stored as `{s:S, e:E}` where `S` is the first cell and
|
||||
`E` is the last cell in the range. The ranges are inclusive. For example, the
|
||||
range `A3:B7` is represented by the object `{s:{c:0, r:2}, e:{c:1, r:6}}`.
|
||||
Utility functions perform a row-major order walk traversal of a sheet range:
|
||||
|
||||
```js
|
||||
for(var R = range.s.r; R <= range.e.r; ++R) {
|
||||
for(var C = range.s.c; C <= range.e.c; ++C) {
|
||||
var cell_address = {c:C, r:R};
|
||||
/* if an A1-style address is needed, encode the address */
|
||||
var cell_ref = XLSX.utils.encode_cell(cell_address);
|
||||
}
|
||||
}
|
||||
```
|
||||
|
@ -1,27 +0,0 @@
|
||||
### Cell Object
|
||||
|
||||
Cell objects are plain JS objects with keys and values following the convention:
|
||||
|
||||
| Key | Description |
|
||||
| --- | ---------------------------------------------------------------------- |
|
||||
| `v` | raw value (see Data Types section for more info) |
|
||||
| `w` | formatted text (if applicable) |
|
||||
| `t` | type: `b` Boolean, `e` Error, `n` Number, `d` Date, `s` Text, `z` Stub |
|
||||
| `f` | cell formula encoded as an A1-style string (if applicable) |
|
||||
| `F` | range of enclosing array if formula is array formula (if applicable) |
|
||||
| `D` | if true, array formula is dynamic (if applicable) |
|
||||
| `r` | rich text encoding (if applicable) |
|
||||
| `h` | HTML rendering of the rich text (if applicable) |
|
||||
| `c` | comments associated with the cell |
|
||||
| `z` | number format string associated with the cell (if requested) |
|
||||
| `l` | cell hyperlink object (`.Target` holds link, `.Tooltip` is tooltip) |
|
||||
| `s` | the style/theme of the cell (if applicable) |
|
||||
|
||||
Built-in export utilities (such as the CSV exporter) will use the `w` text if it
|
||||
is available. To change a value, be sure to delete `cell.w` (or set it to
|
||||
`undefined`) before attempting to export. The utilities will regenerate the `w`
|
||||
text from the number format (`cell.z`) and the raw value if possible.
|
||||
|
||||
The actual array formula is stored in the `f` field of the first cell in the
|
||||
array range. Other cells in the range will omit the `f` field.
|
||||
|
@ -1,95 +0,0 @@
|
||||
#### Data Types
|
||||
|
||||
The raw value is stored in the `v` value property, interpreted based on the `t`
|
||||
type property. This separation allows for representation of numbers as well as
|
||||
numeric text. There are 6 valid cell types:
|
||||
|
||||
| Type | Description |
|
||||
| :--: | :-------------------------------------------------------------------- |
|
||||
| `b` | Boolean: value interpreted as JS `boolean` |
|
||||
| `e` | Error: value is a numeric code and `w` property stores common name ** |
|
||||
| `n` | Number: value is a JS `number` ** |
|
||||
| `d` | Date: value is a JS `Date` object or string to be parsed as Date ** |
|
||||
| `s` | Text: value interpreted as JS `string` and written as text ** |
|
||||
| `z` | Stub: blank stub cell that is ignored by data processing utilities ** |
|
||||
|
||||
<details>
|
||||
<summary><b>Error values and interpretation</b> (click to show)</summary>
|
||||
|
||||
| Value | Error Meaning |
|
||||
| -----: | :-------------- |
|
||||
| `0x00` | `#NULL!` |
|
||||
| `0x07` | `#DIV/0!` |
|
||||
| `0x0F` | `#VALUE!` |
|
||||
| `0x17` | `#REF!` |
|
||||
| `0x1D` | `#NAME?` |
|
||||
| `0x24` | `#NUM!` |
|
||||
| `0x2A` | `#N/A` |
|
||||
| `0x2B` | `#GETTING_DATA` |
|
||||
|
||||
</details>
|
||||
|
||||
Type `n` is the Number type. This includes all forms of data that Excel stores
|
||||
as numbers, such as dates/times and Boolean fields. Excel exclusively uses data
|
||||
that can be fit in an IEEE754 floating point number, just like JS Number, so the
|
||||
`v` field holds the raw number. The `w` field holds formatted text. Dates are
|
||||
stored as numbers by default and converted with `XLSX.SSF.parse_date_code`.
|
||||
|
||||
Type `d` is the Date type, generated only when the option `cellDates` is passed.
|
||||
Since JSON does not have a natural Date type, parsers are generally expected to
|
||||
store ISO 8601 Date strings like you would get from `date.toISOString()`. On
|
||||
the other hand, writers and exporters should be able to handle date strings and
|
||||
JS Date objects. Note that Excel disregards timezone modifiers and treats all
|
||||
dates in the local timezone. The library does not correct for this error.
|
||||
|
||||
Type `s` is the String type. Values are explicitly stored as text. Excel will
|
||||
interpret these cells as "number stored as text". Generated Excel files
|
||||
automatically suppress that class of error, but other formats may elicit errors.
|
||||
|
||||
Type `z` represents blank stub cells. They are generated in cases where cells
|
||||
have no assigned value but hold comments or other metadata. They are ignored by
|
||||
the core library data processing utility functions. By default these cells are
|
||||
not generated; the parser `sheetStubs` option must be set to `true`.
|
||||
|
||||
|
||||
#### Dates
|
||||
|
||||
<details>
|
||||
<summary><b>Excel Date Code details</b> (click to show)</summary>
|
||||
|
||||
By default, Excel stores dates as numbers with a format code that specifies date
|
||||
processing. For example, the date `19-Feb-17` is stored as the number `42785`
|
||||
with a number format of `d-mmm-yy`. The `SSF` module understands number formats
|
||||
and performs the appropriate conversion.
|
||||
|
||||
XLSX also supports a special date type `d` where the data is an ISO 8601 date
|
||||
string. The formatter converts the date back to a number.
|
||||
|
||||
The default behavior for all parsers is to generate number cells. Setting
|
||||
`cellDates` to true will force the generators to store dates.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Time Zones and Dates</b> (click to show)</summary>
|
||||
|
||||
Excel has no native concept of universal time. All times are specified in the
|
||||
local time zone. Excel limitations prevent specifying true absolute dates.
|
||||
|
||||
Following Excel, this library treats all dates as relative to local time zone.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Epochs: 1900 and 1904</b> (click to show)</summary>
|
||||
|
||||
Excel supports two epochs (January 1 1900 and January 1 1904).
|
||||
The workbook's epoch can be determined by examining the workbook's
|
||||
`wb.Workbook.WBProps.date1904` property:
|
||||
|
||||
```js
|
||||
!!(((wb.Workbook||{}).WBProps||{}).date1904)
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -1,48 +0,0 @@
|
||||
### Sheet Objects
|
||||
|
||||
Each key that does not start with `!` maps to a cell (using `A-1` notation)
|
||||
|
||||
`sheet[address]` returns the cell object for the specified address.
|
||||
|
||||
**Special sheet keys (accessible as `sheet[key]`, each starting with `!`):**
|
||||
|
||||
- `sheet['!ref']`: A-1 based range representing the sheet range. Functions that
|
||||
work with sheets should use this parameter to determine the range. Cells that
|
||||
are assigned outside of the range are not processed. In particular, when
|
||||
writing a sheet by hand, cells outside of the range are not included
|
||||
|
||||
Functions that handle sheets should test for the presence of `!ref` field.
|
||||
If the `!ref` is omitted or is not a valid range, functions are free to treat
|
||||
the sheet as empty or attempt to guess the range. The standard utilities that
|
||||
ship with this library treat sheets as empty (for example, the CSV output is
|
||||
empty string).
|
||||
|
||||
When reading a worksheet with the `sheetRows` property set, the ref parameter
|
||||
will use the restricted range. The original range is set at `ws['!fullref']`
|
||||
|
||||
- `sheet['!margins']`: Object representing the page margins. The default values
|
||||
follow Excel's "normal" preset. Excel also has a "wide" and a "narrow" preset
|
||||
but they are stored as raw measurements. The main properties are listed below:
|
||||
|
||||
<details>
|
||||
<summary><b>Page margin details</b> (click to show)</summary>
|
||||
|
||||
| key | description | "normal" | "wide" | "narrow" |
|
||||
|----------|------------------------|:---------|:-------|:-------- |
|
||||
| `left` | left margin (inches) | `0.7` | `1.0` | `0.25` |
|
||||
| `right` | right margin (inches) | `0.7` | `1.0` | `0.25` |
|
||||
| `top` | top margin (inches) | `0.75` | `1.0` | `0.75` |
|
||||
| `bottom` | bottom margin (inches) | `0.75` | `1.0` | `0.75` |
|
||||
| `header` | header margin (inches) | `0.3` | `0.5` | `0.3` |
|
||||
| `footer` | footer margin (inches) | `0.3` | `0.5` | `0.3` |
|
||||
|
||||
```js
|
||||
/* Set worksheet sheet to "normal" */
|
||||
ws["!margins"]={left:0.7, right:0.7, top:0.75,bottom:0.75,header:0.3,footer:0.3}
|
||||
/* Set worksheet sheet to "wide" */
|
||||
ws["!margins"]={left:1.0, right:1.0, top:1.0, bottom:1.0, header:0.5,footer:0.5}
|
||||
/* Set worksheet sheet to "narrow" */
|
||||
ws["!margins"]={left:0.25,right:0.25,top:0.75,bottom:0.75,header:0.3,footer:0.3}
|
||||
```
|
||||
</details>
|
||||
|
@ -1,80 +0,0 @@
|
||||
#### Worksheet Object
|
||||
|
||||
In addition to the base sheet keys, worksheets also add:
|
||||
|
||||
- `ws['!cols']`: array of column properties objects. Column widths are actually
|
||||
stored in files in a normalized manner, measured in terms of the "Maximum
|
||||
Digit Width" (the largest width of the rendered digits 0-9, in pixels). When
|
||||
parsed, the column objects store the pixel width in the `wpx` field, character
|
||||
width in the `wch` field, and the maximum digit width in the `MDW` field.
|
||||
|
||||
- `ws['!rows']`: array of row properties objects as explained later in the docs.
|
||||
Each row object encodes properties including row height and visibility.
|
||||
|
||||
- `ws['!merges']`: array of range objects corresponding to the merged cells in
|
||||
the worksheet. Plain text formats do not support merge cells. CSV export
|
||||
will write all cells in the merge range if they exist, so be sure that only
|
||||
the first cell (upper-left) in the range is set.
|
||||
|
||||
- `ws['!outline']`: configure how outlines should behave. Options default to
|
||||
the default settings in Excel 2019:
|
||||
|
||||
| key | Excel feature | default |
|
||||
|:----------|:----------------------------------------------|:--------|
|
||||
| `above` | Uncheck "Summary rows below detail" | `false` |
|
||||
| `left` | Uncheck "Summary rows to the right of detail" | `false` |
|
||||
|
||||
- `ws['!protect']`: object of write sheet protection properties. The `password`
|
||||
key specifies the password for formats that support password-protected sheets
|
||||
(XLSX/XLSB/XLS). The writer uses the XOR obfuscation method. The following
|
||||
keys control the sheet protection -- set to `false` to enable a feature when
|
||||
sheet is locked or set to `true` to disable a feature:
|
||||
|
||||
<details>
|
||||
<summary><b>Worksheet Protection Details</b> (click to show)</summary>
|
||||
|
||||
| key | feature (true=disabled / false=enabled) | default |
|
||||
|:----------------------|:----------------------------------------|:-----------|
|
||||
| `selectLockedCells` | Select locked cells | enabled |
|
||||
| `selectUnlockedCells` | Select unlocked cells | enabled |
|
||||
| `formatCells` | Format cells | disabled |
|
||||
| `formatColumns` | Format columns | disabled |
|
||||
| `formatRows` | Format rows | disabled |
|
||||
| `insertColumns` | Insert columns | disabled |
|
||||
| `insertRows` | Insert rows | disabled |
|
||||
| `insertHyperlinks` | Insert hyperlinks | disabled |
|
||||
| `deleteColumns` | Delete columns | disabled |
|
||||
| `deleteRows` | Delete rows | disabled |
|
||||
| `sort` | Sort | disabled |
|
||||
| `autoFilter` | Filter | disabled |
|
||||
| `pivotTables` | Use PivotTable reports | disabled |
|
||||
| `objects` | Edit objects | enabled |
|
||||
| `scenarios` | Edit scenarios | enabled |
|
||||
</details>
|
||||
|
||||
- `ws['!autofilter']`: AutoFilter object following the schema:
|
||||
|
||||
```typescript
|
||||
type AutoFilter = {
|
||||
ref:string; // A-1 based range representing the AutoFilter table range
|
||||
}
|
||||
```
|
||||
|
||||
#### Chartsheet Object
|
||||
|
||||
Chartsheets are represented as standard sheets. They are distinguished with the
|
||||
`!type` property set to `"chart"`.
|
||||
|
||||
The underlying data and `!ref` refer to the cached data in the chartsheet. The
|
||||
first row of the chartsheet is the underlying header.
|
||||
|
||||
#### Macrosheet Object
|
||||
|
||||
Macrosheets are represented as standard sheets. They are distinguished with the
|
||||
`!type` property set to `"macro"`.
|
||||
|
||||
#### Dialogsheet Object
|
||||
|
||||
Dialogsheets are represented as standard sheets. They are distinguished with the
|
||||
`!type` property set to `"dialog"`.
|
||||
|
@ -1,12 +0,0 @@
|
||||
### Workbook Object
|
||||
|
||||
`workbook.SheetNames` is an ordered list of the sheets in the workbook
|
||||
|
||||
`wb.Sheets[sheetname]` returns an object representing the worksheet.
|
||||
|
||||
`wb.Props` is an object storing the standard properties. `wb.Custprops` stores
|
||||
custom properties. Since the XLS standard properties deviate from the XLSX
|
||||
standard, XLS parsing stores core properties in both places.
|
||||
|
||||
`wb.Workbook` stores [workbook-level attributes](#workbook-level-attributes).
|
||||
|
@ -1,44 +0,0 @@
|
||||
#### Workbook File Properties
|
||||
|
||||
The various file formats use different internal names for file properties. The
|
||||
workbook `Props` object normalizes the names:
|
||||
|
||||
<details>
|
||||
<summary><b>File Properties</b> (click to show)</summary>
|
||||
|
||||
| JS Name | Excel Description |
|
||||
|:--------------|:-------------------------------|
|
||||
| `Title` | Summary tab "Title" |
|
||||
| `Subject` | Summary tab "Subject" |
|
||||
| `Author` | Summary tab "Author" |
|
||||
| `Manager` | Summary tab "Manager" |
|
||||
| `Company` | Summary tab "Company" |
|
||||
| `Category` | Summary tab "Category" |
|
||||
| `Keywords` | Summary tab "Keywords" |
|
||||
| `Comments` | Summary tab "Comments" |
|
||||
| `LastAuthor` | Statistics tab "Last saved by" |
|
||||
| `CreatedDate` | Statistics tab "Created" |
|
||||
|
||||
</details>
|
||||
|
||||
For example, to set the workbook title property:
|
||||
|
||||
```js
|
||||
if(!wb.Props) wb.Props = {};
|
||||
wb.Props.Title = "Insert Title Here";
|
||||
```
|
||||
|
||||
Custom properties are added in the workbook `Custprops` object:
|
||||
|
||||
```js
|
||||
if(!wb.Custprops) wb.Custprops = {};
|
||||
wb.Custprops["Custom Property"] = "Custom Value";
|
||||
```
|
||||
|
||||
Writers will process the `Props` key of the options object:
|
||||
|
||||
```js
|
||||
/* force the Author to be "SheetJS" */
|
||||
XLSX.write(wb, {Props:{Author:"SheetJS"}});
|
||||
```
|
||||
|
@ -1,53 +0,0 @@
|
||||
### Workbook-Level Attributes
|
||||
|
||||
`wb.Workbook` stores workbook-level attributes.
|
||||
|
||||
#### Defined Names
|
||||
|
||||
<details>
|
||||
<summary><b>Format Support</b> (click to show)</summary>
|
||||
|
||||
**Defined Names**: XLSX/M, XLSB, BIFF8 XLS, XLML, SYLK
|
||||
|
||||
**Unicode Defined Names**: XLSX/M, XLSB, BIFF8 XLS, XLML
|
||||
|
||||
**Defined Name Comment**: XLSX/M, XLSB, BIFF8 XLS
|
||||
|
||||
</details>
|
||||
|
||||
`wb.Workbook.Names` is an array of defined name objects which have the keys:
|
||||
|
||||
<details>
|
||||
<summary><b>Defined Name Properties</b> (click to show)</summary>
|
||||
|
||||
| Key | Description |
|
||||
|:----------|:-----------------------------------------------------------------|
|
||||
| `Sheet` | Name scope. Sheet Index (0 = first sheet) or `null` (Workbook) |
|
||||
| `Name` | Case-sensitive name. Standard rules apply ** |
|
||||
| `Ref` | A1-style Reference (`"Sheet1!$A$1:$D$20"`) |
|
||||
| `Comment` | Comment (only applicable for XLS/XLSX/XLSB) |
|
||||
|
||||
</details>
|
||||
|
||||
Excel allows two sheet-scoped defined names to share the same name. However, a
|
||||
sheet-scoped name cannot collide with a workbook-scope name. Workbook writers
|
||||
may not enforce this constraint.
|
||||
|
||||
#### Workbook Views
|
||||
|
||||
`wb.Workbook.Views` is an array of workbook view objects which have the keys:
|
||||
|
||||
| Key | Description |
|
||||
|:----------------|:----------------------------------------------------|
|
||||
| `RTL` | If true, display right-to-left |
|
||||
|
||||
#### Miscellaneous Workbook Properties
|
||||
|
||||
`wb.Workbook.WBProps` holds other workbook properties:
|
||||
|
||||
| Key | Description |
|
||||
|:----------------|:----------------------------------------------------|
|
||||
| `CodeName` | [VBA Project Workbook Code Name](#vba-and-macros) |
|
||||
| `date1904` | epoch: 0/false for 1900 system, 1/true for 1904 |
|
||||
| `filterPrivacy` | Warn or strip personally identifying info on save |
|
||||
|
@ -1,7 +0,0 @@
|
||||
### Document Features
|
||||
|
||||
Even for basic features like date storage, the official Excel formats store the
|
||||
same content in different ways. The parsers are expected to convert from the
|
||||
underlying file format representation to the Common Spreadsheet Format. Writers
|
||||
are expected to convert from CSF back to the underlying file format.
|
||||
|
@ -1,290 +0,0 @@
|
||||
#### Formulae
|
||||
|
||||
The A1-style formula string is stored in the `f` field. Even though different
|
||||
file formats store the formulae in different ways, the formats are translated.
|
||||
Even though some formats store formulae with a leading equal sign, CSF formulae
|
||||
do not start with `=`.
|
||||
|
||||
<details>
|
||||
<summary><b>Formulae File Format Support</b> (click to show)</summary>
|
||||
|
||||
| Storage Representation | Formats | Read | Write |
|
||||
|:-----------------------|:-------------------------|:-----:|:-----:|
|
||||
| A1-style strings | XLSX | ✔ | ✔ |
|
||||
| RC-style strings | XLML and plain text | ✔ | ✔ |
|
||||
| BIFF Parsed formulae | XLSB and all XLS formats | ✔ | |
|
||||
| OpenFormula formulae | ODS/FODS/UOS | ✔ | ✔ |
|
||||
| Lotus Parsed formulae | All Lotus WK_ formats | ✔ | |
|
||||
|
||||
Since Excel prohibits named cells from colliding with names of A1 or RC style
|
||||
cell references, a (not-so-simple) regex conversion is possible. BIFF Parsed
|
||||
formulae and Lotus Parsed formulae have to be explicitly unwound. OpenFormula
|
||||
formulae can be converted with regular expressions.
|
||||
|
||||
Shared formulae are decompressed and each cell has the formula corresponding to
|
||||
its cell. Writers generally do not attempt to generate shared formulae.
|
||||
</details>
|
||||
|
||||
**Single-Cell Formulae**
|
||||
|
||||
For simple formulae, the `f` key of the desired cell can be set to the actual
|
||||
formula text. This worksheet represents `A1=1`, `A2=2`, and `A3=A1+A2`:
|
||||
|
||||
```js
|
||||
var worksheet = {
|
||||
"!ref": "A1:A3",
|
||||
A1: { t:'n', v:1 },
|
||||
A2: { t:'n', v:2 },
|
||||
A3: { t:'n', v:3, f:'A1+A2' }
|
||||
};
|
||||
```
|
||||
|
||||
Utilities like `aoa_to_sheet` will accept cell objects in lieu of values:
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.aoa_to_sheet([
|
||||
[ 1 ], // A1
|
||||
[ 2 ], // A2
|
||||
[ {t: "n", v: 3, f: "A1+A2"} ] // A3
|
||||
]);
|
||||
```
|
||||
|
||||
Cells with formula entries but no value will be serialized in a way that Excel
|
||||
and other spreadsheet tools will recognize. This library will not automatically
|
||||
compute formula results! For example, the following worksheet will include the
|
||||
`BESSELJ` function but the result will not be available in JavaScript:
|
||||
|
||||
```js
|
||||
var worksheet = XLSX.utils.aoa_to_sheet([
|
||||
[ 3.14159, 2 ], // Row "1"
|
||||
[ { t:'n', f:'BESSELJ(A1,B1)' } ] // Row "2" will be calculated on file open
|
||||
}
|
||||
```
|
||||
|
||||
If the actual results are needed in JS, [SheetJS Pro](https://sheetjs.com/pro)
|
||||
offers a formula calculator component for evaluating expressions, updating
|
||||
values and dependent cells, and refreshing entire workbooks.
|
||||
|
||||
|
||||
**Array Formulae**
|
||||
|
||||
_Assign an array formula_
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, range, formula);
|
||||
```
|
||||
|
||||
Array formulae are stored in the top-left cell of the array block. All cells
|
||||
of an array formula have a `F` field corresponding to the range. A single-cell
|
||||
formula can be distinguished from a plain formula by the presence of `F` field.
|
||||
|
||||
For example, setting the cell `C1` to the array formula `{=SUM(A1:A3*B1:B3)}`:
|
||||
|
||||
```js
|
||||
// API function
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, "C1", "SUM(A1:A3*B1:B3)");
|
||||
|
||||
// ... OR raw operations
|
||||
worksheet['C1'] = { t:'n', f: "SUM(A1:A3*B1:B3)", F:"C1:C1" };
|
||||
```
|
||||
|
||||
For a multi-cell array formula, every cell has the same array range but only the
|
||||
first cell specifies the formula. Consider `D1:D3=A1:A3*B1:B3`:
|
||||
|
||||
```js
|
||||
// API function
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, "D1:D3", "A1:A3*B1:B3");
|
||||
|
||||
// ... OR raw operations
|
||||
worksheet['D1'] = { t:'n', F:"D1:D3", f:"A1:A3*B1:B3" };
|
||||
worksheet['D2'] = { t:'n', F:"D1:D3" };
|
||||
worksheet['D3'] = { t:'n', F:"D1:D3" };
|
||||
```
|
||||
|
||||
Utilities and writers are expected to check for the presence of a `F` field and
|
||||
ignore any possible formula element `f` in cells other than the starting cell.
|
||||
They are not expected to perform validation of the formulae!
|
||||
|
||||
|
||||
**Dynamic Array Formulae**
|
||||
|
||||
_Assign a dynamic array formula_
|
||||
|
||||
```js
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, range, formula, true);
|
||||
```
|
||||
|
||||
Released in 2020, Dynamic Array Formulae are supported in the XLSX/XLSM and XLSB
|
||||
file formats. They are represented like normal array formulae but have special
|
||||
cell metadata indicating that the formula should be allowed to adjust the range.
|
||||
|
||||
An array formula can be marked as dynamic by setting the cell's `D` property to
|
||||
true. The `F` range is expected but can be the set to the current cell:
|
||||
|
||||
```js
|
||||
// API function
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, "C1", "_xlfn.UNIQUE(A1:A3)", 1);
|
||||
|
||||
// ... OR raw operations
|
||||
worksheet['C1'] = { t: "s", f: "_xlfn.UNIQUE(A1:A3)", F:"C1", D: 1 }; // dynamic
|
||||
```
|
||||
|
||||
**Localization with Function Names**
|
||||
|
||||
SheetJS operates at the file level. Excel stores formula expressions using the
|
||||
English (United States) function names. For non-English users, Excel uses a
|
||||
localized set of function names.
|
||||
|
||||
For example, when the computer language and region is set to French (France),
|
||||
Excel interprets `=SOMME(A1:C3)` as if `SOMME` is the `SUM` function. However,
|
||||
in the actual file, Excel stores `SUM(A1:C3)`.
|
||||
|
||||
**Prefixed "Future Functions"**
|
||||
|
||||
Functions introduced in newer versions of Excel are prefixed with `_xlfn.` when
|
||||
stored in files. When writing formula expressions using these functions, the
|
||||
prefix is required for maximal compatibility:
|
||||
|
||||
```js
|
||||
// Broadest compatibility
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, "C1", "_xlfn.UNIQUE(A1:A3)", 1);
|
||||
|
||||
// Can cause errors in spreadsheet software
|
||||
XLSX.utils.sheet_set_array_formula(worksheet, "C1", "UNIQUE(A1:A3)", 1);
|
||||
```
|
||||
|
||||
When reading a file, the `xlfn` option preserves the prefixes.
|
||||
|
||||
<details>
|
||||
<summary><b> Functions requiring `_xlfn.` prefix</b> (click to show)</summary>
|
||||
|
||||
This list is growing with each Excel release.
|
||||
|
||||
```
|
||||
ACOT
|
||||
ACOTH
|
||||
AGGREGATE
|
||||
ARABIC
|
||||
BASE
|
||||
BETA.DIST
|
||||
BETA.INV
|
||||
BINOM.DIST
|
||||
BINOM.DIST.RANGE
|
||||
BINOM.INV
|
||||
BITAND
|
||||
BITLSHIFT
|
||||
BITOR
|
||||
BITRSHIFT
|
||||
BITXOR
|
||||
BYCOL
|
||||
BYROW
|
||||
CEILING.MATH
|
||||
CEILING.PRECISE
|
||||
CHISQ.DIST
|
||||
CHISQ.DIST.RT
|
||||
CHISQ.INV
|
||||
CHISQ.INV.RT
|
||||
CHISQ.TEST
|
||||
COMBINA
|
||||
CONFIDENCE.NORM
|
||||
CONFIDENCE.T
|
||||
COT
|
||||
COTH
|
||||
COVARIANCE.P
|
||||
COVARIANCE.S
|
||||
CSC
|
||||
CSCH
|
||||
DAYS
|
||||
DECIMAL
|
||||
ERF.PRECISE
|
||||
ERFC.PRECISE
|
||||
EXPON.DIST
|
||||
F.DIST
|
||||
F.DIST.RT
|
||||
F.INV
|
||||
F.INV.RT
|
||||
F.TEST
|
||||
FIELDVALUE
|
||||
FILTERXML
|
||||
FLOOR.MATH
|
||||
FLOOR.PRECISE
|
||||
FORMULATEXT
|
||||
GAMMA
|
||||
GAMMA.DIST
|
||||
GAMMA.INV
|
||||
GAMMALN.PRECISE
|
||||
GAUSS
|
||||
HYPGEOM.DIST
|
||||
IFNA
|
||||
IMCOSH
|
||||
IMCOT
|
||||
IMCSC
|
||||
IMCSCH
|
||||
IMSEC
|
||||
IMSECH
|
||||
IMSINH
|
||||
IMTAN
|
||||
ISFORMULA
|
||||
ISOMITTED
|
||||
ISOWEEKNUM
|
||||
LAMBDA
|
||||
LET
|
||||
LOGNORM.DIST
|
||||
LOGNORM.INV
|
||||
MAKEARRAY
|
||||
MAP
|
||||
MODE.MULT
|
||||
MODE.SNGL
|
||||
MUNIT
|
||||
NEGBINOM.DIST
|
||||
NORM.DIST
|
||||
NORM.INV
|
||||
NORM.S.DIST
|
||||
NORM.S.INV
|
||||
NUMBERVALUE
|
||||
PDURATION
|
||||
PERCENTILE.EXC
|
||||
PERCENTILE.INC
|
||||
PERCENTRANK.EXC
|
||||
PERCENTRANK.INC
|
||||
PERMUTATIONA
|
||||
PHI
|
||||
POISSON.DIST
|
||||
QUARTILE.EXC
|
||||
QUARTILE.INC
|
||||
QUERYSTRING
|
||||
RANDARRAY
|
||||
RANK.AVG
|
||||
RANK.EQ
|
||||
REDUCE
|
||||
RRI
|
||||
SCAN
|
||||
SEC
|
||||
SECH
|
||||
SEQUENCE
|
||||
SHEET
|
||||
SHEETS
|
||||
SKEW.P
|
||||
SORTBY
|
||||
STDEV.P
|
||||
STDEV.S
|
||||
T.DIST
|
||||
T.DIST.2T
|
||||
T.DIST.RT
|
||||
T.INV
|
||||
T.INV.2T
|
||||
T.TEST
|
||||
UNICHAR
|
||||
UNICODE
|
||||
UNIQUE
|
||||
VAR.P
|
||||
VAR.S
|
||||
WEBSERVICE
|
||||
WEIBULL.DIST
|
||||
XLOOKUP
|
||||
XOR
|
||||
Z.TEST
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -1,120 +0,0 @@
|
||||
#### Row and Column Properties
|
||||
|
||||
<details>
|
||||
<summary><b>Format Support</b> (click to show)</summary>
|
||||
|
||||
**Row Properties**: XLSX/M, XLSB, BIFF8 XLS, XLML, SYLK, DOM, ODS
|
||||
|
||||
**Column Properties**: XLSX/M, XLSB, BIFF8 XLS, XLML, SYLK, DOM
|
||||
|
||||
</details>
|
||||
|
||||
|
||||
Row and Column properties are not extracted by default when reading from a file
|
||||
and are not persisted by default when writing to a file. The option
|
||||
`cellStyles: true` must be passed to the relevant read or write function.
|
||||
|
||||
_Column Properties_
|
||||
|
||||
The `!cols` array in each worksheet, if present, is a collection of `ColInfo`
|
||||
objects which have the following properties:
|
||||
|
||||
```typescript
|
||||
type ColInfo = {
|
||||
/* visibility */
|
||||
hidden?: boolean; // if true, the column is hidden
|
||||
|
||||
/* column width is specified in one of the following ways: */
|
||||
wpx?: number; // width in screen pixels
|
||||
width?: number; // width in Excel's "Max Digit Width", width*256 is integral
|
||||
wch?: number; // width in characters
|
||||
|
||||
/* other fields for preserving features from files */
|
||||
level?: number; // 0-indexed outline / group level
|
||||
MDW?: number; // Excel's "Max Digit Width" unit, always integral
|
||||
};
|
||||
```
|
||||
|
||||
_Row Properties_
|
||||
|
||||
The `!rows` array in each worksheet, if present, is a collection of `RowInfo`
|
||||
objects which have the following properties:
|
||||
|
||||
```typescript
|
||||
type RowInfo = {
|
||||
/* visibility */
|
||||
hidden?: boolean; // if true, the row is hidden
|
||||
|
||||
/* row height is specified in one of the following ways: */
|
||||
hpx?: number; // height in screen pixels
|
||||
hpt?: number; // height in points
|
||||
|
||||
level?: number; // 0-indexed outline / group level
|
||||
};
|
||||
```
|
||||
|
||||
_Outline / Group Levels Convention_
|
||||
|
||||
The Excel UI displays the base outline level as `1` and the max level as `8`.
|
||||
Following JS conventions, SheetJS uses 0-indexed outline levels wherein the base
|
||||
outline level is `0` and the max level is `7`.
|
||||
|
||||
<details>
|
||||
<summary><b>Why are there three width types?</b> (click to show)</summary>
|
||||
|
||||
There are three different width types corresponding to the three different ways
|
||||
spreadsheets store column widths:
|
||||
|
||||
SYLK and other plain text formats use raw character count. Contemporaneous tools
|
||||
like Visicalc and Multiplan were character based. Since the characters had the
|
||||
same width, it sufficed to store a count. This tradition was continued into the
|
||||
BIFF formats.
|
||||
|
||||
SpreadsheetML (2003) tried to align with HTML by standardizing on screen pixel
|
||||
count throughout the file. Column widths, row heights, and other measures use
|
||||
pixels. When the pixel and character counts do not align, Excel rounds values.
|
||||
|
||||
XLSX internally stores column widths in a nebulous "Max Digit Width" form. The
|
||||
Max Digit Width is the width of the largest digit when rendered (generally the
|
||||
"0" character is the widest). The internal width must be an integer multiple of
|
||||
the the width divided by 256. ECMA-376 describes a formula for converting
|
||||
between pixels and the internal width. This represents a hybrid approach.
|
||||
|
||||
Read functions attempt to populate all three properties. Write functions will
|
||||
try to cycle specified values to the desired type. In order to avoid potential
|
||||
conflicts, manipulation should delete the other properties first. For example,
|
||||
when changing the pixel width, delete the `wch` and `width` properties.
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Implementation details</b> (click to show)</summary>
|
||||
|
||||
_Row Heights_
|
||||
|
||||
Excel internally stores row heights in points. The default resolution is 72 DPI
|
||||
or 96 PPI, so the pixel and point size should agree. For different resolutions
|
||||
they may not agree, so the library separates the concepts.
|
||||
|
||||
Even though all of the information is made available, writers are expected to
|
||||
follow the priority order:
|
||||
|
||||
1) use `hpx` pixel height if available
|
||||
2) use `hpt` point height if available
|
||||
|
||||
_Column Widths_
|
||||
|
||||
Given the constraints, it is possible to determine the MDW without actually
|
||||
inspecting the font! The parsers guess the pixel width by converting from width
|
||||
to pixels and back, repeating for all possible MDW and selecting the MDW that
|
||||
minimizes the error. XLML actually stores the pixel width, so the guess works
|
||||
in the opposite direction.
|
||||
|
||||
Even though all of the information is made available, writers are expected to
|
||||
follow the priority order:
|
||||
|
||||
1) use `width` field if available
|
||||
2) use `wpx` pixel width if available
|
||||
3) use `wch` character count if available
|
||||
|
||||
</details>
|
||||
|
@ -1,81 +0,0 @@
|
||||
#### Number Formats
|
||||
|
||||
The `cell.w` formatted text for each cell is produced from `cell.v` and `cell.z`
|
||||
format. If the format is not specified, the Excel `General` format is used.
|
||||
The format can either be specified as a string or as an index into the format
|
||||
table. Parsers are expected to populate `workbook.SSF` with the number format
|
||||
table. Writers are expected to serialize the table.
|
||||
|
||||
Custom tools should ensure that the local table has each used format string
|
||||
somewhere in the table. Excel convention mandates that the custom formats start
|
||||
at index 164. The following example creates a custom format from scratch:
|
||||
|
||||
<details>
|
||||
<summary><b>New worksheet with custom format</b> (click to show)</summary>
|
||||
|
||||
```js
|
||||
var wb = {
|
||||
SheetNames: ["Sheet1"],
|
||||
Sheets: {
|
||||
Sheet1: {
|
||||
"!ref":"A1:C1",
|
||||
A1: { t:"n", v:10000 }, // <-- General format
|
||||
B1: { t:"n", v:10000, z: "0%" }, // <-- Builtin format
|
||||
C1: { t:"n", v:10000, z: "\"T\"\ #0.00" } // <-- Custom format
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
</details>
|
||||
|
||||
The rules are slightly different from how Excel displays custom number formats.
|
||||
In particular, literal characters must be wrapped in double quotes or preceded
|
||||
by a backslash. For more info, see the Excel documentation article
|
||||
`Create or delete a custom number format` or ECMA-376 18.8.31 (Number Formats)
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Default Number Formats</b> (click to show)</summary>
|
||||
|
||||
The default formats are listed in ECMA-376 18.8.30:
|
||||
|
||||
| ID | Format |
|
||||
|---:|:---------------------------|
|
||||
| 0 | `General` |
|
||||
| 1 | `0` |
|
||||
| 2 | `0.00` |
|
||||
| 3 | `#,##0` |
|
||||
| 4 | `#,##0.00` |
|
||||
| 9 | `0%` |
|
||||
| 10 | `0.00%` |
|
||||
| 11 | `0.00E+00` |
|
||||
| 12 | `# ?/?` |
|
||||
| 13 | `# ??/??` |
|
||||
| 14 | `m/d/yy` (see below) |
|
||||
| 15 | `d-mmm-yy` |
|
||||
| 16 | `d-mmm` |
|
||||
| 17 | `mmm-yy` |
|
||||
| 18 | `h:mm AM/PM` |
|
||||
| 19 | `h:mm:ss AM/PM` |
|
||||
| 20 | `h:mm` |
|
||||
| 21 | `h:mm:ss` |
|
||||
| 22 | `m/d/yy h:mm` |
|
||||
| 37 | `#,##0 ;(#,##0)` |
|
||||
| 38 | `#,##0 ;[Red](#,##0)` |
|
||||
| 39 | `#,##0.00;(#,##0.00)` |
|
||||
| 40 | `#,##0.00;[Red](#,##0.00)` |
|
||||
| 45 | `mm:ss` |
|
||||
| 46 | `[h]:mm:ss` |
|
||||
| 47 | `mmss.0` |
|
||||
| 48 | `##0.0E+0` |
|
||||
| 49 | `@` |
|
||||
|
||||
</details>
|
||||
|
||||
Format 14 (`m/d/yy`) is localized by Excel: even though the file specifies that
|
||||
number format, it will be drawn differently based on system settings. It makes
|
||||
sense when the producer and consumer of files are in the same locale, but that
|
||||
is not always the case over the Internet. To get around this ambiguity, parse
|
||||
functions accept the `dateNF` option to override the interpretation of that
|
||||
specific format string.
|
||||
|
@ -1,72 +0,0 @@
|
||||
#### Hyperlinks
|
||||
|
||||
<details>
|
||||
<summary><b>Format Support</b> (click to show)</summary>
|
||||
|
||||
**Cell Hyperlinks**: XLSX/M, XLSB, BIFF8 XLS, XLML, ODS
|
||||
|
||||
**Tooltips**: XLSX/M, XLSB, BIFF8 XLS, XLML
|
||||
|
||||
</details>
|
||||
|
||||
Hyperlinks are stored in the `l` key of cell objects. The `Target` field of the
|
||||
hyperlink object is the target of the link, including the URI fragment. Tooltips
|
||||
are stored in the `Tooltip` field and are displayed when you move your mouse
|
||||
over the text.
|
||||
|
||||
For example, the following snippet creates a link from cell `A3` to
|
||||
<https://sheetjs.com> with the tip `"Find us @ SheetJS.com!"`:
|
||||
|
||||
```js
|
||||
ws['A1'].l = { Target:"https://sheetjs.com", Tooltip:"Find us @ SheetJS.com!" };
|
||||
```
|
||||
|
||||
Note that Excel does not automatically style hyperlinks -- they will generally
|
||||
be displayed as normal text.
|
||||
|
||||
_Remote Links_
|
||||
|
||||
HTTP / HTTPS links can be used directly:
|
||||
|
||||
```js
|
||||
ws['A2'].l = { Target:"https://docs.sheetjs.com/#hyperlinks" };
|
||||
ws['A3'].l = { Target:"http://localhost:7262/yes_localhost_works" };
|
||||
```
|
||||
|
||||
Excel also supports `mailto` email links with subject line:
|
||||
|
||||
```js
|
||||
ws['A4'].l = { Target:"mailto:ignored@dev.null" };
|
||||
ws['A5'].l = { Target:"mailto:ignored@dev.null?subject=Test Subject" };
|
||||
```
|
||||
|
||||
_Local Links_
|
||||
|
||||
Links to absolute paths should use the `file://` URI scheme:
|
||||
|
||||
```js
|
||||
ws['B1'].l = { Target:"file:///SheetJS/t.xlsx" }; /* Link to /SheetJS/t.xlsx */
|
||||
ws['B2'].l = { Target:"file:///c:/SheetJS.xlsx" }; /* Link to c:\SheetJS.xlsx */
|
||||
```
|
||||
|
||||
Links to relative paths can be specified without a scheme:
|
||||
|
||||
```js
|
||||
ws['B3'].l = { Target:"SheetJS.xlsb" }; /* Link to SheetJS.xlsb */
|
||||
ws['B4'].l = { Target:"../SheetJS.xlsm" }; /* Link to ../SheetJS.xlsm */
|
||||
```
|
||||
|
||||
Relative Paths have undefined behavior in the SpreadsheetML 2003 format. Excel
|
||||
2019 will treat a `..\` parent mark as two levels up.
|
||||
|
||||
_Internal Links_
|
||||
|
||||
Links where the target is a cell or range or defined name in the same workbook
|
||||
("Internal Links") are marked with a leading hash character:
|
||||
|
||||
```js
|
||||
ws['C1'].l = { Target:"#E2" }; /* Link to cell E2 */
|
||||
ws['C2'].l = { Target:"#Sheet2!E2" }; /* Link to cell E2 in sheet Sheet2 */
|
||||
ws['C3'].l = { Target:"#SomeDefinedName" }; /* Link to Defined Name */
|
||||
```
|
||||
|
@ -1,48 +0,0 @@
|
||||
#### Cell Comments
|
||||
|
||||
Cell comments are objects stored in the `c` array of cell objects. The actual
|
||||
contents of the comment are split into blocks based on the comment author. The
|
||||
`a` field of each comment object is the author of the comment and the `t` field
|
||||
is the plain text representation.
|
||||
|
||||
For example, the following snippet appends a cell comment into cell `A1`:
|
||||
|
||||
```js
|
||||
if(!ws.A1.c) ws.A1.c = [];
|
||||
ws.A1.c.push({a:"SheetJS", t:"I'm a little comment, short and stout!"});
|
||||
```
|
||||
|
||||
Note: XLSB enforces a 54 character limit on the Author name. Names longer than
|
||||
54 characters may cause issues with other formats.
|
||||
|
||||
To mark a comment as normally hidden, set the `hidden` property:
|
||||
|
||||
```js
|
||||
if(!ws.A1.c) ws.A1.c = [];
|
||||
ws.A1.c.push({a:"SheetJS", t:"This comment is visible"});
|
||||
|
||||
if(!ws.A2.c) ws.A2.c = [];
|
||||
ws.A2.c.hidden = true;
|
||||
ws.A2.c.push({a:"SheetJS", t:"This comment will be hidden"});
|
||||
```
|
||||
|
||||
|
||||
_Threaded Comments_
|
||||
|
||||
Introduced in Excel 365, threaded comments are plain text comment snippets with
|
||||
author metadata and parent references. They are supported in XLSX and XLSB.
|
||||
|
||||
To mark a comment as threaded, each comment part must have a true `T` property:
|
||||
|
||||
```js
|
||||
if(!ws.A1.c) ws.A1.c = [];
|
||||
ws.A1.c.push({a:"SheetJS", t:"This is not threaded"});
|
||||
|
||||
if(!ws.A2.c) ws.A2.c = [];
|
||||
ws.A2.c.hidden = true;
|
||||
ws.A2.c.push({a:"SheetJS", t:"This is threaded", T: true});
|
||||
ws.A2.c.push({a:"JSSheet", t:"This is also threaded", T: true});
|
||||
```
|
||||
|
||||
There is no Active Directory or Office 365 metadata associated with authors in a thread.
|
||||
|
@ -1,34 +0,0 @@
|
||||
#### Sheet Visibility
|
||||
|
||||
Excel enables hiding sheets in the lower tab bar. The sheet data is stored in
|
||||
the file but the UI does not readily make it available. Standard hidden sheets
|
||||
are revealed in the "Unhide" menu. Excel also has "very hidden" sheets which
|
||||
cannot be revealed in the menu. It is only accessible in the VB Editor!
|
||||
|
||||
The visibility setting is stored in the `Hidden` property of sheet props array.
|
||||
|
||||
<details>
|
||||
<summary><b>More details</b> (click to show)</summary>
|
||||
|
||||
| Value | Definition |
|
||||
|:-----:|:------------|
|
||||
| 0 | Visible |
|
||||
| 1 | Hidden |
|
||||
| 2 | Very Hidden |
|
||||
|
||||
With <https://rawgit.com/SheetJS/test_files/HEAD/sheet_visibility.xlsx>:
|
||||
|
||||
```js
|
||||
> wb.Workbook.Sheets.map(function(x) { return [x.name, x.Hidden] })
|
||||
[ [ 'Visible', 0 ], [ 'Hidden', 1 ], [ 'VeryHidden', 2 ] ]
|
||||
```
|
||||
|
||||
Non-Excel formats do not support the Very Hidden state. The best way to test
|
||||
if a sheet is visible is to check if the `Hidden` property is logical truth:
|
||||
|
||||
```js
|
||||
> wb.Workbook.Sheets.map(function(x) { return [x.name, !x.Hidden] })
|
||||
[ [ 'Visible', true ], [ 'Hidden', false ], [ 'VeryHidden', false ] ]
|
||||
```
|
||||
</details>
|
||||
|
@ -1,45 +0,0 @@
|
||||
#### VBA and Macros
|
||||
|
||||
VBA Macros are stored in a special data blob that is exposed in the `vbaraw`
|
||||
property of the workbook object when the `bookVBA` option is `true`. They are
|
||||
supported in `XLSM`, `XLSB`, and `BIFF8 XLS` formats. The supported format
|
||||
writers automatically insert the data blobs if it is present in the workbook and
|
||||
associate with the worksheet names.
|
||||
|
||||
<details>
|
||||
<summary><b>Custom Code Names</b> (click to show)</summary>
|
||||
|
||||
The workbook code name is stored in `wb.Workbook.WBProps.CodeName`. By default,
|
||||
Excel will write `ThisWorkbook` or a translated phrase like `DieseArbeitsmappe`.
|
||||
Worksheet and Chartsheet code names are in the worksheet properties object at
|
||||
`wb.Workbook.Sheets[i].CodeName`. Macrosheets and Dialogsheets are ignored.
|
||||
|
||||
The readers and writers preserve the code names, but they have to be manually
|
||||
set when adding a VBA blob to a different workbook.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Macrosheets</b> (click to show)</summary>
|
||||
|
||||
Older versions of Excel also supported a non-VBA "macrosheet" sheet type that
|
||||
stored automation commands. These are exposed in objects with the `!type`
|
||||
property set to `"macro"`.
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Detecting macros in workbooks</b> (click to show)</summary>
|
||||
|
||||
The `vbaraw` field will only be set if macros are present, so testing is simple:
|
||||
|
||||
```js
|
||||
function wb_has_macro(wb/*:workbook*/)/*:boolean*/ {
|
||||
if(!!wb.vbaraw) return true;
|
||||
const sheets = wb.SheetNames.map((n) => wb.Sheets[n]);
|
||||
return sheets.some((ws) => !!ws && ws['!type']=='macro');
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -1,145 +0,0 @@
|
||||
## Parsing Options
|
||||
|
||||
The exported `read` and `readFile` functions accept an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | ------: | :--------------------------------------------------- |
|
||||
|`type` | | Input data encoding (see Input Type below) |
|
||||
|`raw` | false | If true, plain text parsing will not parse values ** |
|
||||
|`codepage` | | If specified, use code page when appropriate ** |
|
||||
|`cellFormula`| true | Save formulae to the .f field |
|
||||
|`cellHTML` | true | Parse rich text and save HTML to the `.h` field |
|
||||
|`cellNF` | false | Save number format string to the `.z` field |
|
||||
|`cellStyles` | false | Save style/theme info to the `.s` field |
|
||||
|`cellText` | true | Generated formatted text to the `.w` field |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`dateNF` | | If specified, use the string for date code 14 ** |
|
||||
|`sheetStubs` | false | Create cell objects of type `z` for stub cells |
|
||||
|`sheetRows` | 0 | If >0, read the first `sheetRows` rows ** |
|
||||
|`bookDeps` | false | If true, parse calculation chains |
|
||||
|`bookFiles` | false | If true, add raw files to book object ** |
|
||||
|`bookProps` | false | If true, only parse enough to get book metadata ** |
|
||||
|`bookSheets` | false | If true, only parse enough to get the sheet names |
|
||||
|`bookVBA` | false | If true, copy VBA blob to `vbaraw` field ** |
|
||||
|`password` | "" | If defined and file is encrypted, use password ** |
|
||||
|`WTF` | false | If true, throw errors on unexpected file features ** |
|
||||
|`sheets` | | If specified, only parse specified sheets ** |
|
||||
|`PRN` | false | If true, allow parsing of PRN files ** |
|
||||
|`xlfn` | false | If true, preserve `_xlfn.` prefixes in formulae ** |
|
||||
|`FS` | | DSV Field Separator override |
|
||||
|
||||
- Even if `cellNF` is false, formatted text will be generated and saved to `.w`
|
||||
- In some cases, sheets may be parsed even if `bookSheets` is false.
|
||||
- Excel aggressively tries to interpret values from CSV and other plain text.
|
||||
This leads to surprising behavior! The `raw` option suppresses value parsing.
|
||||
- `bookSheets` and `bookProps` combine to give both sets of information
|
||||
- `Deps` will be an empty object if `bookDeps` is false
|
||||
- `bookFiles` behavior depends on file type:
|
||||
* `keys` array (paths in the ZIP) for ZIP-based formats
|
||||
* `files` hash (mapping paths to objects representing the files) for ZIP
|
||||
* `cfb` object for formats using CFB containers
|
||||
- `sheetRows-1` rows will be generated when looking at the JSON object output
|
||||
(since the header row is counted as a row when parsing the data)
|
||||
- By default all worksheets are parsed. `sheets` restricts based on input type:
|
||||
* number: zero-based index of worksheet to parse (`0` is first worksheet)
|
||||
* string: name of worksheet to parse (case insensitive)
|
||||
* array of numbers and strings to select multiple worksheets.
|
||||
- `bookVBA` merely exposes the raw VBA CFB object. It does not parse the data.
|
||||
XLSM and XLSB store the VBA CFB object in `xl/vbaProject.bin`. BIFF8 XLS mixes
|
||||
the VBA entries alongside the core Workbook entry, so the library generates a
|
||||
new XLSB-compatible blob from the XLS CFB container.
|
||||
- `codepage` is applied to BIFF2 - BIFF5 files without `CodePage` records and to
|
||||
CSV files without BOM in `type:"binary"`. BIFF8 XLS always defaults to 1200.
|
||||
- `PRN` affects parsing of text files without a common delimiter character.
|
||||
- Currently only XOR encryption is supported. Unsupported error will be thrown
|
||||
for files employing other encryption methods.
|
||||
- Newer Excel functions are serialized with the `_xlfn.` prefix, hidden from the
|
||||
user. SheetJS will strip `_xlfn.` normally. The `xlfn` option preserves them.
|
||||
- WTF is mainly for development. By default, the parser will suppress read
|
||||
errors on single worksheets, allowing you to read from the worksheets that do
|
||||
parse properly. Setting `WTF:true` forces those errors to be thrown.
|
||||
|
||||
### Input Type
|
||||
|
||||
Strings can be interpreted in multiple ways. The `type` parameter for `read`
|
||||
tells the library how to parse the data argument:
|
||||
|
||||
| `type` | expected input |
|
||||
|------------|-----------------------------------------------------------------|
|
||||
| `"base64"` | string: Base64 encoding of the file |
|
||||
| `"binary"` | string: binary string (byte `n` is `data.charCodeAt(n)`) |
|
||||
| `"string"` | string: JS string (characters interpreted as UTF8) |
|
||||
| `"buffer"` | nodejs Buffer |
|
||||
| `"array"` | array: array of 8-bit unsigned int (byte `n` is `data[n]`) |
|
||||
| `"file"` | string: path of file that will be read (nodejs only) |
|
||||
|
||||
### Guessing File Type
|
||||
|
||||
<details>
|
||||
<summary><b>Implementation Details</b> (click to show)</summary>
|
||||
|
||||
Excel and other spreadsheet tools read the first few bytes and apply other
|
||||
heuristics to determine a file type. This enables file type punning: renaming
|
||||
files with the `.xls` extension will tell your computer to use Excel to open the
|
||||
file but Excel will know how to handle it. This library applies similar logic:
|
||||
|
||||
| Byte 0 | Raw File Type | Spreadsheet Types |
|
||||
|:-------|:--------------|:----------------------------------------------------|
|
||||
| `0xD0` | CFB Container | BIFF 5/8 or protected XLSX/XLSB or WQ3/QPW or XLR |
|
||||
| `0x09` | BIFF Stream | BIFF 2/3/4/5 |
|
||||
| `0x3C` | XML/HTML | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
| `0x50` | ZIP Archive | XLSB or XLSX/M or ODS or UOS2 or NUMBERS or text |
|
||||
| `0x49` | Plain Text | SYLK or plain text |
|
||||
| `0x54` | Plain Text | DIF or plain text |
|
||||
| `0xEF` | UTF8 Encoded | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
| `0xFF` | UTF16 Encoded | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
| `0x00` | Record Stream | Lotus WK\* or Quattro Pro or plain text |
|
||||
| `0x7B` | Plain text | RTF or plain text |
|
||||
| `0x0A` | Plain text | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
| `0x0D` | Plain text | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
| `0x20` | Plain text | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
|
||||
|
||||
DBF files are detected based on the first byte as well as the third and fourth
|
||||
bytes (corresponding to month and day of the file date)
|
||||
|
||||
Works for Windows files are detected based on the BOF record with type `0xFF`
|
||||
|
||||
Plain text format guessing follows the priority order:
|
||||
|
||||
| Format | Test |
|
||||
|:-------|:--------------------------------------------------------------------|
|
||||
| XML | `<?xml` appears in the first 1024 characters |
|
||||
| HTML | starts with `<` and HTML tags appear in the first 1024 characters * |
|
||||
| XML | starts with `<` and the first tag is valid |
|
||||
| RTF | starts with `{\rt` |
|
||||
| DSV | starts with `/sep=.$/`, separator is the specified character |
|
||||
| DSV | more unquoted `|` chars than `;` `\t` `,` in the first 1024 |
|
||||
| DSV | more unquoted `;` chars than `\t` or `,` in the first 1024 |
|
||||
| TSV | more unquoted `\t` chars than `,` chars in the first 1024 |
|
||||
| CSV | one of the first 1024 characters is a comma `","` |
|
||||
| ETH | starts with `socialcalc:version:` |
|
||||
| PRN | `PRN` option is set to true |
|
||||
| CSV | (fallback) |
|
||||
|
||||
- HTML tags include: `html`, `table`, `head`, `meta`, `script`, `style`, `div`
|
||||
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>Why are random text files valid?</b> (click to show)</summary>
|
||||
|
||||
Excel is extremely aggressive in reading files. Adding an XLS extension to any
|
||||
display text file (where the only characters are ANSI display chars) tricks
|
||||
Excel into thinking that the file is potentially a CSV or TSV file, even if it
|
||||
is only one column! This library attempts to replicate that behavior.
|
||||
|
||||
The best approach is to validate the desired worksheet and ensure it has the
|
||||
expected number of rows or columns. Extracting the range is extremely simple:
|
||||
|
||||
```js
|
||||
var range = XLSX.utils.decode_range(worksheet['!ref']);
|
||||
var ncols = range.e.c - range.s.c + 1, nrows = range.e.r - range.s.r + 1;
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -1,88 +0,0 @@
|
||||
## Writing Options
|
||||
|
||||
The exported `write` and `writeFile` functions accept an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | -------: | :-------------------------------------------------- |
|
||||
|`type` | | Output data encoding (see Output Type below) |
|
||||
|`cellDates` | `false` | Store dates as type `d` (default is `n`) |
|
||||
|`bookSST` | `false` | Generate Shared String Table ** |
|
||||
|`bookType` | `"xlsx"` | Type of Workbook (see below for supported formats) |
|
||||
|`sheet` | `""` | Name of Worksheet for single-sheet formats ** |
|
||||
|`compression`| `false` | Use ZIP compression for ZIP-based formats ** |
|
||||
|`Props` | | Override workbook properties when writing ** |
|
||||
|`themeXLSX` | | Override theme XML when writing XLSX/XLSB/XLSM ** |
|
||||
|`ignoreEC` | `true` | Suppress "number as text" errors ** |
|
||||
|`numbers` | | Payload for NUMBERS export ** |
|
||||
|
||||
- `bookSST` is slower and more memory intensive, but has better compatibility
|
||||
with older versions of iOS Numbers
|
||||
- The raw data is the only thing guaranteed to be saved. Features not described
|
||||
in this README may not be serialized.
|
||||
- `cellDates` only applies to XLSX output and is not guaranteed to work with
|
||||
third-party readers. Excel itself does not usually write cells with type `d`
|
||||
so non-Excel tools may ignore the data or error in the presence of dates.
|
||||
- `Props` is an object mirroring the workbook `Props` field. See the table from
|
||||
the [Workbook File Properties](#workbook-file-properties) section.
|
||||
- if specified, the string from `themeXLSX` will be saved as the primary theme
|
||||
for XLSX/XLSB/XLSM files (to `xl/theme/theme1.xml` in the ZIP)
|
||||
- Due to a bug in the program, some features like "Text to Columns" will crash
|
||||
Excel on worksheets where error conditions are ignored. The writer will mark
|
||||
files to ignore the error by default. Set `ignoreEC` to `false` to suppress.
|
||||
- Due to the size of the data, the NUMBERS data is not included by default. The
|
||||
included `xlsx.zahl.js` and `xlsx.zahl.mjs` scripts include the data.
|
||||
|
||||
### Supported Output Formats
|
||||
|
||||
For broad compatibility with third-party tools, this library supports many
|
||||
output formats. The specific file type is controlled with `bookType` option:
|
||||
|
||||
| `bookType` | file ext | container | sheets | Description |
|
||||
| :--------- | -------: | :-------: | :----- |:------------------------------- |
|
||||
| `xlsx` | `.xlsx` | ZIP | multi | Excel 2007+ XML Format |
|
||||
| `xlsm` | `.xlsm` | ZIP | multi | Excel 2007+ Macro XML Format |
|
||||
| `xlsb` | `.xlsb` | ZIP | multi | Excel 2007+ Binary Format |
|
||||
| `biff8` | `.xls` | CFB | multi | Excel 97-2004 Workbook Format |
|
||||
| `biff5` | `.xls` | CFB | multi | Excel 5.0/95 Workbook Format |
|
||||
| `biff4` | `.xls` | none | single | Excel 4.0 Worksheet Format |
|
||||
| `biff3` | `.xls` | none | single | Excel 3.0 Worksheet Format |
|
||||
| `biff2` | `.xls` | none | single | Excel 2.0 Worksheet Format |
|
||||
| `xlml` | `.xls` | none | multi | Excel 2003-2004 (SpreadsheetML) |
|
||||
| `numbers` |`.numbers`| ZIP | single | Numbers 3.0+ Spreadsheet |
|
||||
| `ods` | `.ods` | ZIP | multi | OpenDocument Spreadsheet |
|
||||
| `fods` | `.fods` | none | multi | Flat OpenDocument Spreadsheet |
|
||||
| `wk3` | `.wk3` | none | multi | Lotus Workbook (WK3) |
|
||||
| `csv` | `.csv` | none | single | Comma Separated Values |
|
||||
| `txt` | `.txt` | none | single | UTF-16 Unicode Text (TXT) |
|
||||
| `sylk` | `.sylk` | none | single | Symbolic Link (SYLK) |
|
||||
| `html` | `.html` | none | single | HTML Document |
|
||||
| `dif` | `.dif` | none | single | Data Interchange Format (DIF) |
|
||||
| `dbf` | `.dbf` | none | single | dBASE II + VFP Extensions (DBF) |
|
||||
| `wk1` | `.wk1` | none | single | Lotus Worksheet (WK1) |
|
||||
| `rtf` | `.rtf` | none | single | Rich Text Format (RTF) |
|
||||
| `prn` | `.prn` | none | single | Lotus Formatted Text |
|
||||
| `eth` | `.eth` | none | single | Ethercalc Record Format (ETH) |
|
||||
|
||||
- `compression` only applies to formats with ZIP containers.
|
||||
- Formats that only support a single sheet require a `sheet` option specifying
|
||||
the worksheet. If the string is empty, the first worksheet is used.
|
||||
- `writeFile` will automatically guess the output file format based on the file
|
||||
extension if `bookType` is not specified. It will choose the first format in
|
||||
the aforementioned table that matches the extension.
|
||||
|
||||
### Output Type
|
||||
|
||||
The `type` argument for `write` mirrors the `type` argument for `read`:
|
||||
|
||||
| `type` | output |
|
||||
|------------|-----------------------------------------------------------------|
|
||||
| `"base64"` | string: Base64 encoding of the file |
|
||||
| `"binary"` | string: binary string (byte `n` is `data.charCodeAt(n)`) |
|
||||
| `"string"` | string: JS string (characters interpreted as UTF8) |
|
||||
| `"buffer"` | nodejs Buffer |
|
||||
| `"array"` | ArrayBuffer, fallback array of 8-bit unsigned int |
|
||||
| `"file"` | string: path of file that will be created (nodejs only) |
|
||||
|
||||
- For compatibility with Excel, `csv` output will always include the UTF-8 byte
|
||||
order mark.
|
||||
|
@ -1,493 +0,0 @@
|
||||
## Utility Functions
|
||||
|
||||
The `sheet_to_*` functions accept a worksheet and an optional options object.
|
||||
|
||||
The `*_to_sheet` functions accept a data object and an optional options object.
|
||||
|
||||
The examples are based on the following worksheet:
|
||||
|
||||
```
|
||||
XXX| A | B | C | D | E | F | G |
|
||||
---+---+---+---+---+---+---+---+
|
||||
1 | S | h | e | e | t | J | S |
|
||||
2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|
||||
3 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|
||||
```
|
||||
|
||||
### Array of Arrays Input
|
||||
|
||||
`XLSX.utils.aoa_to_sheet` takes an array of arrays of JS values and returns a
|
||||
worksheet resembling the input data. Numbers, Booleans and Strings are stored
|
||||
as the corresponding styles. Dates are stored as date or numbers. Array holes
|
||||
and explicit `undefined` values are skipped. `null` values may be stubbed. All
|
||||
other values are stored as strings. The function takes an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :-----: | :--------------------------------------------------- |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`sheetStubs` | false | Create cell objects of type `z` for `null` values |
|
||||
|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
To generate the example sheet:
|
||||
|
||||
```js
|
||||
var ws = XLSX.utils.aoa_to_sheet([
|
||||
"SheetJS".split(""),
|
||||
[1,2,3,4,5,6,7],
|
||||
[2,3,4,5,6,7,8]
|
||||
]);
|
||||
```
|
||||
</details>
|
||||
|
||||
`XLSX.utils.sheet_add_aoa` takes an array of arrays of JS values and updates an
|
||||
existing worksheet object. It follows the same process as `aoa_to_sheet` and
|
||||
accepts an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :-----: | :--------------------------------------------------- |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`sheetStubs` | false | Create cell objects of type `z` for `null` values |
|
||||
|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
|
||||
|`origin` | | Use specified cell as starting point (see below) |
|
||||
|
||||
`origin` is expected to be one of:
|
||||
|
||||
| `origin` | Description |
|
||||
| :--------------- | :-------------------------------------------------------- |
|
||||
| (cell object) | Use specified cell (cell object) |
|
||||
| (string) | Use specified cell (A1-style cell) |
|
||||
| (number >= 0) | Start from the first column at specified row (0-indexed) |
|
||||
| -1 | Append to bottom of worksheet starting on first column |
|
||||
| (default) | Start from cell A1 |
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
Consider the worksheet:
|
||||
|
||||
```
|
||||
XXX| A | B | C | D | E | F | G |
|
||||
---+---+---+---+---+---+---+---+
|
||||
1 | S | h | e | e | t | J | S |
|
||||
2 | 1 | 2 | | | 5 | 6 | 7 |
|
||||
3 | 2 | 3 | | | 6 | 7 | 8 |
|
||||
4 | 3 | 4 | | | 7 | 8 | 9 |
|
||||
5 | 4 | 5 | 6 | 7 | 8 | 9 | 0 |
|
||||
```
|
||||
|
||||
This worksheet can be built up in the order `A1:G1, A2:B4, E2:G4, A5:G5`:
|
||||
|
||||
```js
|
||||
/* Initial row */
|
||||
var ws = XLSX.utils.aoa_to_sheet([ "SheetJS".split("") ]);
|
||||
|
||||
/* Write data starting at A2 */
|
||||
XLSX.utils.sheet_add_aoa(ws, [[1,2], [2,3], [3,4]], {origin: "A2"});
|
||||
|
||||
/* Write data starting at E2 */
|
||||
XLSX.utils.sheet_add_aoa(ws, [[5,6,7], [6,7,8], [7,8,9]], {origin:{r:1, c:4}});
|
||||
|
||||
/* Append row */
|
||||
XLSX.utils.sheet_add_aoa(ws, [[4,5,6,7,8,9,0]], {origin: -1});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Array of Objects Input
|
||||
|
||||
`XLSX.utils.json_to_sheet` takes an array of objects and returns a worksheet
|
||||
with automatically-generated "headers" based on the keys of the objects. The
|
||||
default column order is determined by the first appearance of the field using
|
||||
`Object.keys`. The function accepts an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :-----: | :--------------------------------------------------- |
|
||||
|`header` | | Use specified field order (default `Object.keys`) ** |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`skipHeader` | false | If true, do not include header row in output |
|
||||
|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
|
||||
|
||||
- All fields from each row will be written. If `header` is an array and it does
|
||||
not contain a particular field, the key will be appended to the array.
|
||||
- Cell types are deduced from the type of each value. For example, a `Date`
|
||||
object will generate a Date cell, while a string will generate a Text cell.
|
||||
- Null values will be skipped by default. If `nullError` is true, an error cell
|
||||
corresponding to `#NULL!` will be written to the worksheet.
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
The original sheet cannot be reproduced using plain objects since JS object keys
|
||||
must be unique. After replacing the second `e` and `S` with `e_1` and `S_1`:
|
||||
|
||||
```js
|
||||
var ws = XLSX.utils.json_to_sheet([
|
||||
{ S:1, h:2, e:3, e_1:4, t:5, J:6, S_1:7 },
|
||||
{ S:2, h:3, e:4, e_1:5, t:6, J:7, S_1:8 }
|
||||
], {header:["S","h","e","e_1","t","J","S_1"]});
|
||||
```
|
||||
|
||||
Alternatively, the header row can be skipped:
|
||||
|
||||
```js
|
||||
var ws = XLSX.utils.json_to_sheet([
|
||||
{ A:"S", B:"h", C:"e", D:"e", E:"t", F:"J", G:"S" },
|
||||
{ A: 1, B: 2, C: 3, D: 4, E: 5, F: 6, G: 7 },
|
||||
{ A: 2, B: 3, C: 4, D: 5, E: 6, F: 7, G: 8 }
|
||||
], {header:["A","B","C","D","E","F","G"], skipHeader:true});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
`XLSX.utils.sheet_add_json` takes an array of objects and updates an existing
|
||||
worksheet object. It follows the same process as `json_to_sheet` and accepts
|
||||
an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :-----: | :--------------------------------------------------- |
|
||||
|`header` | | Use specified column order (default `Object.keys`) |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`skipHeader` | false | If true, do not include header row in output |
|
||||
|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
|
||||
|`origin` | | Use specified cell as starting point (see below) |
|
||||
|
||||
`origin` is expected to be one of:
|
||||
|
||||
| `origin` | Description |
|
||||
| :--------------- | :-------------------------------------------------------- |
|
||||
| (cell object) | Use specified cell (cell object) |
|
||||
| (string) | Use specified cell (A1-style cell) |
|
||||
| (number >= 0) | Start from the first column at specified row (0-indexed) |
|
||||
| -1 | Append to bottom of worksheet starting on first column |
|
||||
| (default) | Start from cell A1 |
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
Consider the worksheet:
|
||||
|
||||
```
|
||||
XXX| A | B | C | D | E | F | G |
|
||||
---+---+---+---+---+---+---+---+
|
||||
1 | S | h | e | e | t | J | S |
|
||||
2 | 1 | 2 | | | 5 | 6 | 7 |
|
||||
3 | 2 | 3 | | | 6 | 7 | 8 |
|
||||
4 | 3 | 4 | | | 7 | 8 | 9 |
|
||||
5 | 4 | 5 | 6 | 7 | 8 | 9 | 0 |
|
||||
```
|
||||
|
||||
This worksheet can be built up in the order `A1:G1, A2:B4, E2:G4, A5:G5`:
|
||||
|
||||
```js
|
||||
/* Initial row */
|
||||
var ws = XLSX.utils.json_to_sheet([
|
||||
{ A: "S", B: "h", C: "e", D: "e", E: "t", F: "J", G: "S" }
|
||||
], {header: ["A", "B", "C", "D", "E", "F", "G"], skipHeader: true});
|
||||
|
||||
/* Write data starting at A2 */
|
||||
XLSX.utils.sheet_add_json(ws, [
|
||||
{ A: 1, B: 2 }, { A: 2, B: 3 }, { A: 3, B: 4 }
|
||||
], {skipHeader: true, origin: "A2"});
|
||||
|
||||
/* Write data starting at E2 */
|
||||
XLSX.utils.sheet_add_json(ws, [
|
||||
{ A: 5, B: 6, C: 7 }, { A: 6, B: 7, C: 8 }, { A: 7, B: 8, C: 9 }
|
||||
], {skipHeader: true, origin: { r: 1, c: 4 }, header: [ "A", "B", "C" ]});
|
||||
|
||||
/* Append row */
|
||||
XLSX.utils.sheet_add_json(ws, [
|
||||
{ A: 4, B: 5, C: 6, D: 7, E: 8, F: 9, G: 0 }
|
||||
], {header: ["A", "B", "C", "D", "E", "F", "G"], skipHeader: true, origin: -1});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### HTML Table Input
|
||||
|
||||
`XLSX.utils.table_to_sheet` takes a table DOM element and returns a worksheet
|
||||
resembling the input table. Numbers are parsed. All other data will be stored
|
||||
as strings.
|
||||
|
||||
`XLSX.utils.table_to_book` produces a minimal workbook based on the worksheet.
|
||||
|
||||
Both functions accept options arguments:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :------: | :-------------------------------------------------- |
|
||||
|`raw` | | If true, every cell will hold raw strings |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`sheetRows` | 0 | If >0, read the first `sheetRows` rows of the table |
|
||||
|`display` | false | If true, hidden rows and cells will not be parsed |
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
To generate the example sheet, start with the HTML table:
|
||||
|
||||
```html
|
||||
<table id="sheetjs">
|
||||
<tr><td>S</td><td>h</td><td>e</td><td>e</td><td>t</td><td>J</td><td>S</td></tr>
|
||||
<tr><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td></tr>
|
||||
<tr><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td></tr>
|
||||
</table>
|
||||
```
|
||||
|
||||
To process the table:
|
||||
|
||||
```js
|
||||
var tbl = document.getElementById('sheetjs');
|
||||
var wb = XLSX.utils.table_to_book(tbl);
|
||||
```
|
||||
</details>
|
||||
|
||||
Note: `XLSX.read` can handle HTML represented as strings.
|
||||
|
||||
|
||||
`XLSX.utils.sheet_add_dom` takes a table DOM element and updates an existing
|
||||
worksheet object. It follows the same process as `table_to_sheet` and accepts
|
||||
an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :------: | :-------------------------------------------------- |
|
||||
|`raw` | | If true, every cell will hold raw strings |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
||||
|`sheetRows` | 0 | If >0, read the first `sheetRows` rows of the table |
|
||||
|`display` | false | If true, hidden rows and cells will not be parsed |
|
||||
|
||||
`origin` is expected to be one of:
|
||||
|
||||
| `origin` | Description |
|
||||
| :--------------- | :-------------------------------------------------------- |
|
||||
| (cell object) | Use specified cell (cell object) |
|
||||
| (string) | Use specified cell (A1-style cell) |
|
||||
| (number >= 0) | Start from the first column at specified row (0-indexed) |
|
||||
| -1 | Append to bottom of worksheet starting on first column |
|
||||
| (default) | Start from cell A1 |
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
A small helper function can create gap rows between tables:
|
||||
|
||||
```js
|
||||
function create_gap_rows(ws, nrows) {
|
||||
var ref = XLSX.utils.decode_range(ws["!ref"]); // get original range
|
||||
ref.e.r += nrows; // add to ending row
|
||||
ws["!ref"] = XLSX.utils.encode_range(ref); // reassign row
|
||||
}
|
||||
|
||||
/* first table */
|
||||
var ws = XLSX.utils.table_to_sheet(document.getElementById('table1'));
|
||||
create_gap_rows(ws, 1); // one row gap after first table
|
||||
|
||||
/* second table */
|
||||
XLSX.utils.sheet_add_dom(ws, document.getElementById('table2'), {origin: -1});
|
||||
create_gap_rows(ws, 3); // three rows gap after second table
|
||||
|
||||
/* third table */
|
||||
XLSX.utils.sheet_add_dom(ws, document.getElementById('table3'), {origin: -1});
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Formulae Output
|
||||
|
||||
`XLSX.utils.sheet_to_formulae` generates an array of commands that represent
|
||||
how a person would enter data into an application. Each entry is of the form
|
||||
`A1-cell-address=formula-or-value`. String literals are prefixed with a `'` in
|
||||
accordance with Excel.
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
For the example sheet:
|
||||
|
||||
```js
|
||||
> var o = XLSX.utils.sheet_to_formulae(ws);
|
||||
> [o[0], o[5], o[10], o[15], o[20]];
|
||||
[ 'A1=\'S', 'F1=\'J', 'D2=4', 'B3=3', 'G3=8' ]
|
||||
```
|
||||
</details>
|
||||
|
||||
### Delimiter-Separated Output
|
||||
|
||||
As an alternative to the `writeFile` CSV type, `XLSX.utils.sheet_to_csv` also
|
||||
produces CSV output. The function takes an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :----------- | :------: | :------------------------------------------------- |
|
||||
|`FS` | `","` | "Field Separator" delimiter between fields |
|
||||
|`RS` | `"\n"` | "Record Separator" delimiter between rows |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`strip` | false | Remove trailing field separators in each record ** |
|
||||
|`blankrows` | true | Include blank lines in the CSV output |
|
||||
|`skipHidden` | false | Skips hidden rows/columns in the CSV output |
|
||||
|`forceQuotes` | false | Force quotes around fields |
|
||||
|
||||
- `strip` will remove trailing commas from each line under default `FS/RS`
|
||||
- `blankrows` must be set to `false` to skip blank lines.
|
||||
- Fields containing the record or field separator will automatically be wrapped
|
||||
in double quotes; `forceQuotes` forces all cells to be wrapped in quotes.
|
||||
- `XLSX.write` with `csv` type will always prepend the UTF-8 byte-order mark for
|
||||
Excel compatibility. `sheet_to_csv` returns a JS string and omits the mark.
|
||||
Using `XLSX.write` with type `string` will also skip the mark.
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
For the example sheet:
|
||||
|
||||
```js
|
||||
> console.log(XLSX.utils.sheet_to_csv(ws));
|
||||
S,h,e,e,t,J,S
|
||||
1,2,3,4,5,6,7
|
||||
2,3,4,5,6,7,8
|
||||
> console.log(XLSX.utils.sheet_to_csv(ws, {FS:"\t"}));
|
||||
S h e e t J S
|
||||
1 2 3 4 5 6 7
|
||||
2 3 4 5 6 7 8
|
||||
> console.log(XLSX.utils.sheet_to_csv(ws,{FS:":",RS:"|"}));
|
||||
S:h:e:e:t:J:S|1:2:3:4:5:6:7|2:3:4:5:6:7:8|
|
||||
```
|
||||
</details>
|
||||
|
||||
#### UTF-16 Unicode Text
|
||||
|
||||
The `txt` output type uses the tab character as the field separator. If the
|
||||
`codepage` library is available (included in full distribution but not core),
|
||||
the output will be encoded in `CP1200` and the BOM will be prepended.
|
||||
|
||||
`XLSX.utils.sheet_to_txt` takes the same arguments as `sheet_to_csv`.
|
||||
|
||||
### HTML Output
|
||||
|
||||
As an alternative to the `writeFile` HTML type, `XLSX.utils.sheet_to_html` also
|
||||
produces HTML output. The function takes an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :------: | :-------------------------------------------------- |
|
||||
|`id` | | Specify the `id` attribute for the `TABLE` element |
|
||||
|`editable` | false | If true, set `contenteditable="true"` for every TD |
|
||||
|`header` | | Override header (default `html body`) |
|
||||
|`footer` | | Override footer (default `/body /html`) |
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
For the example sheet:
|
||||
|
||||
```js
|
||||
> console.log(XLSX.utils.sheet_to_html(ws));
|
||||
// ...
|
||||
```
|
||||
</details>
|
||||
|
||||
### JSON
|
||||
|
||||
`XLSX.utils.sheet_to_json` generates different types of JS objects. The function
|
||||
takes an options argument:
|
||||
|
||||
| Option Name | Default | Description |
|
||||
| :---------- | :------: | :-------------------------------------------------- |
|
||||
|`raw` | `true` | Use raw values (true) or formatted strings (false) |
|
||||
|`range` | from WS | Override Range (see table below) |
|
||||
|`header` | | Control output format (see table below) |
|
||||
|`dateNF` | FMT 14 | Use specified date format in string output |
|
||||
|`defval` | | Use specified value in place of null or undefined |
|
||||
|`blankrows` | ** | Include blank lines in the output ** |
|
||||
|
||||
- `raw` only affects cells which have a format code (`.z`) field or a formatted
|
||||
text (`.w`) field.
|
||||
- If `header` is specified, the first row is considered a data row; if `header`
|
||||
is not specified, the first row is the header row and not considered data.
|
||||
- When `header` is not specified, the conversion will automatically disambiguate
|
||||
header entries by affixing `_` and a count starting at `1`. For example, if
|
||||
three columns have header `foo` the output fields are `foo`, `foo_1`, `foo_2`
|
||||
- `null` values are returned when `raw` is true but are skipped when false.
|
||||
- If `defval` is not specified, null and undefined values are skipped normally.
|
||||
If specified, all null and undefined points will be filled with `defval`
|
||||
- When `header` is `1`, the default is to generate blank rows. `blankrows` must
|
||||
be set to `false` to skip blank rows.
|
||||
- When `header` is not `1`, the default is to skip blank rows. `blankrows` must
|
||||
be true to generate blank rows
|
||||
|
||||
`range` is expected to be one of:
|
||||
|
||||
| `range` | Description |
|
||||
| :--------------- | :-------------------------------------------------------- |
|
||||
| (number) | Use worksheet range but set starting row to the value |
|
||||
| (string) | Use specified range (A1-style bounded range string) |
|
||||
| (default) | Use worksheet range (`ws['!ref']`) |
|
||||
|
||||
`header` is expected to be one of:
|
||||
|
||||
| `header` | Description |
|
||||
| :--------------- | :-------------------------------------------------------- |
|
||||
| `1` | Generate an array of arrays ("2D Array") |
|
||||
| `"A"` | Row object keys are literal column labels |
|
||||
| array of strings | Use specified strings as keys in row objects |
|
||||
| (default) | Read and disambiguate first row as keys |
|
||||
|
||||
- If header is not `1`, the row object will contain the non-enumerable property
|
||||
`__rowNum__` that represents the row of the sheet corresponding to the entry.
|
||||
- If header is an array, the keys will not be disambiguated. This can lead to
|
||||
unexpected results if the array values are not unique!
|
||||
|
||||
|
||||
<details>
|
||||
<summary><b>Examples</b> (click to show)</summary>
|
||||
|
||||
For the example sheet:
|
||||
|
||||
```js
|
||||
> XLSX.utils.sheet_to_json(ws);
|
||||
[ { S: 1, h: 2, e: 3, e_1: 4, t: 5, J: 6, S_1: 7 },
|
||||
{ S: 2, h: 3, e: 4, e_1: 5, t: 6, J: 7, S_1: 8 } ]
|
||||
|
||||
> XLSX.utils.sheet_to_json(ws, {header:"A"});
|
||||
[ { A: 'S', B: 'h', C: 'e', D: 'e', E: 't', F: 'J', G: 'S' },
|
||||
{ A: '1', B: '2', C: '3', D: '4', E: '5', F: '6', G: '7' },
|
||||
{ A: '2', B: '3', C: '4', D: '5', E: '6', F: '7', G: '8' } ]
|
||||
|
||||
> XLSX.utils.sheet_to_json(ws, {header:["A","E","I","O","U","6","9"]});
|
||||
[ { '6': 'J', '9': 'S', A: 'S', E: 'h', I: 'e', O: 'e', U: 't' },
|
||||
{ '6': '6', '9': '7', A: '1', E: '2', I: '3', O: '4', U: '5' },
|
||||
{ '6': '7', '9': '8', A: '2', E: '3', I: '4', O: '5', U: '6' } ]
|
||||
|
||||
> XLSX.utils.sheet_to_json(ws, {header:1});
|
||||
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
|
||||
[ '1', '2', '3', '4', '5', '6', '7' ],
|
||||
[ '2', '3', '4', '5', '6', '7', '8' ] ]
|
||||
```
|
||||
|
||||
Example showing the effect of `raw`:
|
||||
|
||||
```js
|
||||
> ws['A2'].w = "3"; // set A2 formatted string value
|
||||
|
||||
> XLSX.utils.sheet_to_json(ws, {header:1, raw:false});
|
||||
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
|
||||
[ '3', '2', '3', '4', '5', '6', '7' ], // <-- A2 uses the formatted string
|
||||
[ '2', '3', '4', '5', '6', '7', '8' ] ]
|
||||
|
||||
> XLSX.utils.sheet_to_json(ws, {header:1});
|
||||
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
|
||||
[ 1, 2, 3, 4, 5, 6, 7 ], // <-- A2 uses the raw value
|
||||
[ 2, 3, 4, 5, 6, 7, 8 ] ]
|
||||
```
|
||||
</details>
|
||||
|
@ -1,256 +0,0 @@
|
||||
## File Formats
|
||||
|
||||
Despite the library name `xlsx`, it supports numerous spreadsheet file formats:
|
||||
|
||||
| Format | Read | Write |
|
||||
|:-------------------------------------------------------------|:-----:|:-----:|
|
||||
| **Excel Worksheet/Workbook Formats** |:-----:|:-----:|
|
||||
| Excel 2007+ XML Formats (XLSX/XLSM) | ✔ | ✔ |
|
||||
| Excel 2007+ Binary Format (XLSB BIFF12) | ✔ | ✔ |
|
||||
| Excel 2003-2004 XML Format (XML "SpreadsheetML") | ✔ | ✔ |
|
||||
| Excel 97-2004 (XLS BIFF8) | ✔ | ✔ |
|
||||
| Excel 5.0/95 (XLS BIFF5) | ✔ | ✔ |
|
||||
| Excel 4.0 (XLS/XLW BIFF4) | ✔ | ✔ |
|
||||
| Excel 3.0 (XLS BIFF3) | ✔ | ✔ |
|
||||
| Excel 2.0/2.1 / Multiplan 4.x DOS (XLS BIFF2) | ✔ | ✔ |
|
||||
| **Excel Supported Text Formats** |:-----:|:-----:|
|
||||
| Delimiter-Separated Values (CSV/TXT) | ✔ | ✔ |
|
||||
| Data Interchange Format (DIF) | ✔ | ✔ |
|
||||
| Symbolic Link (SYLK/SLK) | ✔ | ✔ |
|
||||
| Lotus Formatted Text (PRN) | ✔ | ✔ |
|
||||
| UTF-16 Unicode Text (TXT) | ✔ | ✔ |
|
||||
| **Other Workbook/Worksheet Formats** |:-----:|:-----:|
|
||||
| Numbers 3.0+ / iWork 2013+ Spreadsheet (NUMBERS) | ✔ | ✔ |
|
||||
| OpenDocument Spreadsheet (ODS) | ✔ | ✔ |
|
||||
| Flat XML ODF Spreadsheet (FODS) | ✔ | ✔ |
|
||||
| Uniform Office Format Spreadsheet (标文通 UOS1/UOS2) | ✔ | |
|
||||
| dBASE II/III/IV / Visual FoxPro (DBF) | ✔ | ✔ |
|
||||
| Lotus 1-2-3 (WK1/WK3) | ✔ | ✔ |
|
||||
| Lotus 1-2-3 (WKS/WK2/WK4/123) | ✔ | |
|
||||
| Quattro Pro Spreadsheet (WQ1/WQ2/WB1/WB2/WB3/QPW) | ✔ | |
|
||||
| Works 1.x-3.x DOS / 2.x-5.x Windows Spreadsheet (WKS) | ✔ | |
|
||||
| Works 6.x-9.x Spreadsheet (XLR) | ✔ | |
|
||||
| **Other Common Spreadsheet Output Formats** |:-----:|:-----:|
|
||||
| HTML Tables | ✔ | ✔ |
|
||||
| Rich Text Format tables (RTF) | | ✔ |
|
||||
| Ethercalc Record Format (ETH) | ✔ | ✔ |
|
||||
|
||||
Features not supported by a given file format will not be written. Formats with
|
||||
range limits will be silently truncated:
|
||||
|
||||
| Format | Last Cell | Max Cols | Max Rows |
|
||||
|:------------------------------------------|:-----------|---------:|---------:|
|
||||
| Excel 2007+ XML Formats (XLSX/XLSM) | XFD1048576 | 16384 | 1048576 |
|
||||
| Excel 2007+ Binary Format (XLSB BIFF12) | XFD1048576 | 16384 | 1048576 |
|
||||
| Numbers 12.0 (NUMBERS) | ALL1000000 | 1000 | 1000000 |
|
||||
| Quattro Pro 9+ (QPW) | IV1000000 | 256 | 1000000 |
|
||||
| Excel 97-2004 (XLS BIFF8) | IV65536 | 256 | 65536 |
|
||||
| Excel 5.0/95 (XLS BIFF5) | IV16384 | 256 | 16384 |
|
||||
| Excel 4.0 (XLS BIFF4) | IV16384 | 256 | 16384 |
|
||||
| Excel 3.0 (XLS BIFF3) | IV16384 | 256 | 16384 |
|
||||
| Excel 2.0/2.1 (XLS BIFF2) | IV16384 | 256 | 16384 |
|
||||
| Lotus 1-2-3 R2 - R5 (WK1/WK3/WK4) | IV8192 | 256 | 8192 |
|
||||
| Lotus 1-2-3 R1 (WKS) | IV2048 | 256 | 2048 |
|
||||
|
||||
Excel 2003 SpreadsheetML range limits are governed by the version of Excel and
|
||||
are not enforced by the writer.
|
||||
|
||||
<details>
|
||||
<summary><b>File Format Details</b> (click to show)</summary>
|
||||
|
||||
**Core Spreadsheet Formats**
|
||||
|
||||
- **Excel 2007+ XML (XLSX/XLSM)**
|
||||
|
||||
XLSX and XLSM files are ZIP containers containing a series of XML files in
|
||||
accordance with the Open Packaging Conventions (OPC). The XLSM format, almost
|
||||
identical to XLSX, is used for files containing macros.
|
||||
|
||||
The format is standardized in ECMA-376 and later in ISO/IEC 29500. Excel does
|
||||
not follow the specification, and there are additional documents discussing how
|
||||
Excel deviates from the specification.
|
||||
|
||||
- **Excel 2.0-95 (BIFF2/BIFF3/BIFF4/BIFF5)**
|
||||
|
||||
BIFF 2/3 XLS are single-sheet streams of binary records. Excel 4 introduced
|
||||
the concept of a workbook (`XLW` files) but also had single-sheet `XLS` format.
|
||||
The structure is largely similar to the Lotus 1-2-3 file formats. BIFF5/8/12
|
||||
extended the format in various ways but largely stuck to the same record format.
|
||||
|
||||
Multiplan 4 "Normal" files are identical in structure to BIFF2 and use the same
|
||||
cell value records. There are some different record types for more advanced
|
||||
features like Print Settings. The BIFF2 writer generates files that can be read
|
||||
in Multiplan 4 and the parser can extract values from "Normal" files.
|
||||
|
||||
There is no official specification for any of these formats. Excel 95 can write
|
||||
files in these formats, so record lengths and fields were determined by writing
|
||||
in all of the supported formats and comparing files. Excel 2016 can generate
|
||||
BIFF5 files, enabling a full suite of file tests starting from XLSX or BIFF2.
|
||||
|
||||
- **Excel 97-2004 Binary (BIFF8)**
|
||||
|
||||
BIFF8 exclusively uses the Compound File Binary container format, splitting some
|
||||
content into streams within the file. At its core, it still uses an extended
|
||||
version of the binary record format from older versions of BIFF.
|
||||
|
||||
The `MS-XLS` specification covers the basics of the file format, and other
|
||||
specifications expand on serialization of features like properties.
|
||||
|
||||
- **Excel 2003-2004 (SpreadsheetML)**
|
||||
|
||||
Predating XLSX, SpreadsheetML files are simple XML files. There is no official
|
||||
and comprehensive specification, although MS has released documentation on the
|
||||
format. Since Excel 2016 can generate SpreadsheetML files, mapping features is
|
||||
pretty straightforward.
|
||||
|
||||
- **Excel 2007+ Binary (XLSB, BIFF12)**
|
||||
|
||||
Introduced in parallel with XLSX, the XLSB format combines the BIFF architecture
|
||||
with the content separation and ZIP container of XLSX. For the most part nodes
|
||||
in an XLSX sub-file can be mapped to XLSB records in a corresponding sub-file.
|
||||
|
||||
The `MS-XLSB` specification covers the basics of the file format, and other
|
||||
specifications expand on serialization of features like properties.
|
||||
|
||||
- **Delimiter-Separated Values (CSV/TXT)**
|
||||
|
||||
Excel CSV deviates from RFC4180 in a number of important ways. The generated
|
||||
CSV files should generally work in Excel although they may not work in RFC4180
|
||||
compatible readers. The parser should generally understand Excel CSV. The
|
||||
writer proactively generates cells for formulae if values are unavailable.
|
||||
|
||||
Excel TXT uses tab as the delimiter and code page 1200.
|
||||
|
||||
Like in Excel, files starting with `0x49 0x44 ("ID")` are treated as Symbolic
|
||||
Link files. Unlike Excel, if the file does not have a valid SYLK header, it
|
||||
will be proactively reinterpreted as CSV. There are some files with semicolon
|
||||
delimiter that align with a valid SYLK file. For the broadest compatibility,
|
||||
all cells with the value of `ID` are automatically wrapped in double-quotes.
|
||||
|
||||
**Miscellaneous Workbook Formats**
|
||||
|
||||
Support for other formats is generally far behind XLS/XLSB/XLSX support, due in
|
||||
part to a lack of publicly available documentation. Test files were produced in
|
||||
the respective apps and compared to their XLS exports to determine structure.
|
||||
The main focus is data extraction.
|
||||
|
||||
- **Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123)**
|
||||
|
||||
The Lotus formats consist of binary records similar to the BIFF structure. Lotus
|
||||
did release a specification decades ago covering the original WK1 format. Other
|
||||
features were deduced by producing files and comparing to Excel support.
|
||||
|
||||
Generated WK1 worksheets are compatible with Lotus 1-2-3 R2 and Excel 5.0.
|
||||
|
||||
Generated WK3 workbooks are compatible with Lotus 1-2-3 R9 and Excel 5.0.
|
||||
|
||||
- **Quattro Pro (WQ1/WQ2/WB1/WB2/WB3/QPW)**
|
||||
|
||||
The Quattro Pro formats use binary records in the same way as BIFF and Lotus.
|
||||
Some of the newer formats (namely WB3 and QPW) use a CFB enclosure just like
|
||||
BIFF8 XLS.
|
||||
|
||||
- **Works for DOS / Windows Spreadsheet (WKS/XLR)**
|
||||
|
||||
All versions of Works were limited to a single worksheet.
|
||||
|
||||
Works for DOS 1.x - 3.x and Works for Windows 2.x extends the Lotus WKS format
|
||||
with additional record types.
|
||||
|
||||
Works for Windows 3.x - 5.x uses the same format and WKS extension. The BOF
|
||||
record has type `FF`
|
||||
|
||||
Works for Windows 6.x - 9.x use the XLR format. XLR is nearly identical to
|
||||
BIFF8 XLS: it uses the CFB container with a Workbook stream. Works 9 saves the
|
||||
exact Workbook stream for the XLR and the 97-2003 XLS export. Works 6 XLS
|
||||
includes two empty worksheets but the main worksheet has an identical encoding.
|
||||
XLR also includes a `WksSSWorkBook` stream similar to Lotus FM3/FMT files.
|
||||
|
||||
- **Numbers 3.0+ / iWork 2013+ Spreadsheet (NUMBERS)**
|
||||
|
||||
iWork 2013 (Numbers 3.0 / Pages 5.0 / Keynote 6.0) switched from a proprietary
|
||||
XML-based format to the current file format based on the iWork Archive (IWA).
|
||||
This format has been used up through the current release (Numbers 11.2).
|
||||
|
||||
The parser focuses on extracting raw data from tables. Numbers technically
|
||||
supports multiple tables in a logical worksheet, including custom titles. This
|
||||
parser will generate one worksheet per Numbers table.
|
||||
|
||||
The writer currently exports a small range from the first worksheet.
|
||||
|
||||
- **OpenDocument Spreadsheet (ODS/FODS)**
|
||||
|
||||
ODS is an XML-in-ZIP format akin to XLSX while FODS is an XML format akin to
|
||||
SpreadsheetML. Both are detailed in the OASIS standard, but tools like LO/OO
|
||||
add undocumented extensions. The parsers and writers do not implement the full
|
||||
standard, instead focusing on parts necessary to extract and store raw data.
|
||||
|
||||
- **Uniform Office Spreadsheet (UOS1/2)**
|
||||
|
||||
UOS is a very similar format, and it comes in 2 varieties corresponding to ODS
|
||||
and FODS respectively. For the most part, the difference between the formats
|
||||
is in the names of tags and attributes.
|
||||
|
||||
**Miscellaneous Worksheet Formats**
|
||||
|
||||
Many older formats supported only one worksheet:
|
||||
|
||||
- **dBASE and Visual FoxPro (DBF)**
|
||||
|
||||
DBF is really a typed table format: each column can only hold one data type and
|
||||
each record omits type information. The parser generates a header row and
|
||||
inserts records starting at the second row of the worksheet. The writer makes
|
||||
files compatible with Visual FoxPro extensions.
|
||||
|
||||
Multi-file extensions like external memos and tables are currently unsupported,
|
||||
limited by the general ability to read arbitrary files in the web browser. The
|
||||
reader understands DBF Level 7 extensions like DATETIME.
|
||||
|
||||
- **Symbolic Link (SYLK)**
|
||||
|
||||
<https://oss.sheetjs.com/notes/sylk/> is an informal specification based on our
|
||||
experimentation and previous documentation efforts.
|
||||
|
||||
- **Lotus Formatted Text (PRN)**
|
||||
|
||||
There is no real documentation, and in fact Excel treats PRN as an output-only
|
||||
file format. Nevertheless we can guess the column widths and reverse-engineer
|
||||
the original layout. Excel's 240 character width limitation is not enforced.
|
||||
|
||||
- **Data Interchange Format (DIF)**
|
||||
|
||||
There is no unified definition. Visicalc DIF differs from Lotus DIF, and both
|
||||
differ from Excel DIF. Where ambiguous, the parser/writer follows the expected
|
||||
behavior from Excel. In particular, Excel extends DIF in incompatible ways:
|
||||
|
||||
- Since Excel automatically converts numbers-as-strings to numbers, numeric
|
||||
string constants are converted to formulae: `"0.3" -> "=""0.3""`
|
||||
- DIF technically expects numeric cells to hold the raw numeric data, but Excel
|
||||
permits formatted numbers (including dates)
|
||||
- DIF technically has no support for formulae, but Excel will automatically
|
||||
convert plain formulae. Array formulae are not preserved.
|
||||
|
||||
- **HTML**
|
||||
|
||||
Excel HTML worksheets include special metadata encoded in styles. For example,
|
||||
`mso-number-format` is a localized string containing the number format. Despite
|
||||
the metadata the output is valid HTML, although it does accept bare `&` symbols.
|
||||
|
||||
The writer adds type metadata to the TD elements via the `t` tag. The parser
|
||||
looks for those tags and overrides the default interpretation. For example, text
|
||||
like `<td>12345</td>` will be parsed as numbers but `<td t="s">12345</td>` will
|
||||
be parsed as text.
|
||||
|
||||
- **Rich Text Format (RTF)**
|
||||
|
||||
Excel RTF worksheets are stored in clipboard when copying cells or ranges from a
|
||||
worksheet. The supported codes are a subset of the Word RTF support.
|
||||
|
||||
- **Ethercalc Record Format (ETH)**
|
||||
|
||||
[Ethercalc](https://ethercalc.net/) is an open source web spreadsheet powered by
|
||||
a record format reminiscent of SYLK wrapped in a MIME multi-part message.
|
||||
|
||||
</details>
|
||||
|
||||
|
@ -1,105 +0,0 @@
|
||||
## Testing
|
||||
|
||||
### Node
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
`make test` will run the node-based tests. By default it runs tests on files in
|
||||
every supported format. To test a specific file type, set `FMTS` to the format
|
||||
you want to test. Feature-specific tests are available with `make test_misc`
|
||||
|
||||
```bash
|
||||
$ make test_misc # run core tests
|
||||
$ make test # run full tests
|
||||
$ make test_xls # only use the XLS test files
|
||||
$ make test_xlsx # only use the XLSX test files
|
||||
$ make test_xlsb # only use the XLSB test files
|
||||
$ make test_xml # only use the XML test files
|
||||
$ make test_ods # only use the ODS test files
|
||||
```
|
||||
|
||||
To enable all errors, set the environment variable `WTF=1`:
|
||||
|
||||
```bash
|
||||
$ make test # run full tests
|
||||
$ WTF=1 make test # enable all error messages
|
||||
```
|
||||
|
||||
`flow` and `eslint` checks are available:
|
||||
|
||||
```bash
|
||||
$ make lint # eslint checks
|
||||
$ make flow # make lint + Flow checking
|
||||
$ make tslint # check TS definitions
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Browser
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
The core in-browser tests are available at `tests/index.html` within this repo.
|
||||
Start a local server and navigate to that directory to run the tests.
|
||||
`make ctestserv` will start a server on port 8000.
|
||||
|
||||
`make ctest` will generate the browser fixtures. To add more files, edit the
|
||||
`tests/fixtures.lst` file and add the paths.
|
||||
|
||||
To run the full in-browser tests, clone the repo for
|
||||
[`oss.sheetjs.com`](https://github.com/SheetJS/SheetJS.github.io) and replace
|
||||
the `xlsx.js` file (then open a browser window and go to `stress.html`):
|
||||
|
||||
```bash
|
||||
$ cp xlsx.js ../SheetJS.github.io
|
||||
$ cd ../SheetJS.github.io
|
||||
$ simplehttpserver # or "python -mSimpleHTTPServer" or "serve"
|
||||
$ open -a Chromium.app http://localhost:8000/stress.html
|
||||
```
|
||||
</details>
|
||||
|
||||
### Tested Environments
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
- NodeJS `0.8`, `0.10`, `0.12`, `4.x`, `5.x`, `6.x`, `7.x`, `8.x`
|
||||
- IE 6/7/8/9/10/11 (IE 6-9 require shims)
|
||||
- Chrome 24+ (including Android 4.0+)
|
||||
- Safari 6+ (iOS and Desktop)
|
||||
- Edge 13+, FF 18+, and Opera 12+
|
||||
|
||||
Tests utilize the mocha testing framework.
|
||||
|
||||
- <https://saucelabs.com/u/sheetjs> for XLS\* modules using Sauce Labs
|
||||
|
||||
The test suite also includes tests for various time zones. To change
|
||||
the timezone locally, set the TZ environment variable:
|
||||
|
||||
```bash
|
||||
$ env TZ="Asia/Kolkata" WTF=1 make test_misc
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Test Files
|
||||
|
||||
Test files are housed in [another repo](https://github.com/SheetJS/test_files).
|
||||
|
||||
Running `make init` will refresh the `test_files` submodule and get the files.
|
||||
Note that this requires `svn`, `git`, `hg` and other commands that may not be
|
||||
available. If `make init` fails, please download the latest version of the test
|
||||
files snapshot from [the repo](https://github.com/SheetJS/test_files/releases)
|
||||
|
||||
<details>
|
||||
<summary><b>Latest Snapshot</b> (click to show)</summary>
|
||||
|
||||
Latest test files snapshot:
|
||||
<http://github.com/SheetJS/test_files/releases/download/20170409/test_files.zip>
|
||||
|
||||
(download and unzip to the `test_files` subdirectory)
|
||||
|
||||
</details>
|
||||
|
@ -1,121 +0,0 @@
|
||||
## Contributing
|
||||
|
||||
Due to the precarious nature of the Open Specifications Promise, it is very
|
||||
important to ensure code is cleanroom. [Contribution Notes](CONTRIBUTING.md)
|
||||
|
||||
<details>
|
||||
<summary><b>File organization</b> (click to show)</summary>
|
||||
|
||||
At a high level, the final script is a concatenation of the individual files in
|
||||
the `bits` folder. Running `make` should reproduce the final output on all
|
||||
platforms. The README is similarly split into bits in the `docbits` folder.
|
||||
|
||||
Folders:
|
||||
|
||||
| folder | contents |
|
||||
|:-------------|:--------------------------------------------------------------|
|
||||
| `bits` | raw source files that make up the final script |
|
||||
| `docbits` | raw markdown files that make up `README.md` |
|
||||
| `bin` | server-side bin scripts (`xlsx.njs`) |
|
||||
| `dist` | dist files for web browsers and nonstandard JS environments |
|
||||
| `demos` | demo projects for platforms like ExtendScript and Webpack |
|
||||
| `tests` | browser tests (run `make ctest` to rebuild) |
|
||||
| `types` | typescript definitions and tests |
|
||||
| `misc` | miscellaneous supporting scripts |
|
||||
| `test_files` | test files (pulled from the test files repository) |
|
||||
|
||||
</details>
|
||||
|
||||
After cloning the repo, running `make help` will display a list of commands.
|
||||
|
||||
### OSX/Linux
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
The `xlsx.js` file is constructed from the files in the `bits` subdirectory. The
|
||||
build script (run `make`) will concatenate the individual bits to produce the
|
||||
script. Before submitting a contribution, ensure that running make will produce
|
||||
the `xlsx.js` file exactly. The simplest way to test is to add the script:
|
||||
|
||||
```bash
|
||||
$ git add xlsx.js
|
||||
$ make clean
|
||||
$ make
|
||||
$ git diff xlsx.js
|
||||
```
|
||||
|
||||
To produce the dist files, run `make dist`. The dist files are updated in each
|
||||
version release and *should not be committed between versions*.
|
||||
</details>
|
||||
|
||||
### Windows
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
The included `make.cmd` script will build `xlsx.js` from the `bits` directory.
|
||||
Building is as simple as:
|
||||
|
||||
```cmd
|
||||
> make
|
||||
```
|
||||
|
||||
To prepare development environment:
|
||||
|
||||
```cmd
|
||||
> make init
|
||||
```
|
||||
|
||||
The full list of commands available in Windows are displayed in `make help`:
|
||||
|
||||
```
|
||||
make init -- install deps and global modules
|
||||
make lint -- run eslint linter
|
||||
make test -- run mocha test suite
|
||||
make misc -- run smaller test suite
|
||||
make book -- rebuild README and summary
|
||||
make help -- display this message
|
||||
```
|
||||
|
||||
As explained in [Test Files](#test-files), on Windows the release ZIP file must
|
||||
be downloaded and extracted. If Bash on Windows is available, it is possible
|
||||
to run the OSX/Linux workflow. The following steps prepares the environment:
|
||||
|
||||
```bash
|
||||
# Install support programs for the build and test commands
|
||||
sudo apt-get install make git subversion mercurial
|
||||
|
||||
# Install nodejs and NPM within the WSL
|
||||
wget -qO- https://deb.nodesource.com/setup_8.x | sudo bash
|
||||
sudo apt-get install nodejs
|
||||
|
||||
# Install dev dependencies
|
||||
sudo npm install -g mocha voc blanket xlsjs
|
||||
```
|
||||
|
||||
</details>
|
||||
|
||||
### Tests
|
||||
|
||||
<details>
|
||||
<summary>(click to show)</summary>
|
||||
|
||||
The `test_misc` target (`make test_misc` on Linux/OSX / `make misc` on Windows)
|
||||
runs the targeted feature tests. It should take 5-10 seconds to perform feature
|
||||
tests without testing against the entire test battery. New features should be
|
||||
accompanied with tests for the relevant file formats and features.
|
||||
|
||||
For tests involving the read side, an appropriate feature test would involve
|
||||
reading an existing file and checking the resulting workbook object. If a
|
||||
parameter is involved, files should be read with different values to verify that
|
||||
the feature is working as expected.
|
||||
|
||||
For tests involving a new write feature which can already be parsed, appropriate
|
||||
feature tests would involve writing a workbook with the feature and then opening
|
||||
and verifying that the feature is preserved.
|
||||
|
||||
For tests involving a new write feature without an existing read ability, please
|
||||
add a feature test to the kitchen sink `tests/write.js`.
|
||||
</details>
|
||||
|
@ -1,6 +0,0 @@
|
||||
## License
|
||||
|
||||
Please consult the attached LICENSE file for details. All rights not explicitly
|
||||
granted by the Apache 2.0 License are reserved by the Original Author.
|
||||
|
||||
|
@ -1,31 +0,0 @@
|
||||
## References
|
||||
|
||||
<details>
|
||||
<summary><b>OSP-covered Specifications</b> (click to show)</summary>
|
||||
|
||||
- `MS-CFB`: Compound File Binary File Format
|
||||
- `MS-CTXLS`: Excel Custom Toolbar Binary File Format
|
||||
- `MS-EXSPXML3`: Excel Calculation Version 2 Web Service XML Schema
|
||||
- `MS-ODATA`: Open Data Protocol (OData)
|
||||
- `MS-ODRAW`: Office Drawing Binary File Format
|
||||
- `MS-ODRAWXML`: Office Drawing Extensions to Office Open XML Structure
|
||||
- `MS-OE376`: Office Implementation Information for ECMA-376 Standards Support
|
||||
- `MS-OFFCRYPTO`: Office Document Cryptography Structure
|
||||
- `MS-OI29500`: Office Implementation Information for ISO/IEC 29500 Standards Support
|
||||
- `MS-OLEDS`: Object Linking and Embedding (OLE) Data Structures
|
||||
- `MS-OLEPS`: Object Linking and Embedding (OLE) Property Set Data Structures
|
||||
- `MS-OODF3`: Office Implementation Information for ODF 1.2 Standards Support
|
||||
- `MS-OSHARED`: Office Common Data Types and Objects Structures
|
||||
- `MS-OVBA`: Office VBA File Format Structure
|
||||
- `MS-XLDM`: Spreadsheet Data Model File Format
|
||||
- `MS-XLS`: Excel Binary File Format (.xls) Structure Specification
|
||||
- `MS-XLSB`: Excel (.xlsb) Binary File Format
|
||||
- `MS-XLSX`: Excel (.xlsx) Extensions to the Office Open XML SpreadsheetML File Format
|
||||
- `XLS`: Microsoft Office Excel 97-2007 Binary File Format Specification
|
||||
- `RTF`: Rich Text Format
|
||||
|
||||
</details>
|
||||
|
||||
- ISO/IEC 29500:2012(E) "Information technology — Document description and processing languages — Office Open XML File Formats"
|
||||
- Open Document Format for Office Applications Version 1.2 (29 September 2011)
|
||||
- Worksheet File Format (From Lotus) December 1984
|
@ -1,13 +0,0 @@
|
||||
/* based on the `coarse` project README */
|
||||
const fs = require('fs');
|
||||
const coarse = require('coarse');
|
||||
|
||||
const svg = fs.readFileSync(process.argv[2], "utf8");
|
||||
let roughened = coarse(svg);
|
||||
const viewbox = roughened.match(/viewBox="(.*?)"/)[1].split(/\s+/);
|
||||
const v = viewbox.map(x => parseFloat(x));
|
||||
v[0] -= 40; v[1] += 40; v[2] += 80; v[3] += 80;
|
||||
roughened = roughened.replace(/<title>G<\/title>/, `$&<polygon fill="white" stroke="" points="${v[0]},${v[1]} ${v[0]},${v[1]-v[3]} ${v[0]+v[2]},${v[1]-v[3]} ${v[0]+v[2]},${v[1]} ${v[0]},${v[1]}"/>`);
|
||||
|
||||
fs.writeFileSync(process.argv[3], roughened);
|
||||
|
4321
misc/docs/README.md
4321
misc/docs/README.md
File diff suppressed because it is too large
Load Diff
@ -1,83 +0,0 @@
|
||||
# Summary
|
||||
|
||||
- [xlsx](README.md#sheetjs-js-xlsx)
|
||||
- [Getting Started](README.md#getting-started)
|
||||
* [Installation](README.md#installation)
|
||||
+ [Standalone Browser Scripts](README.md#standalone-browser-scripts)
|
||||
+ [ECMAScript Modules](README.md#ecmascript-modules)
|
||||
+ [Deno](README.md#deno)
|
||||
+ [NodeJS](README.md#nodejs)
|
||||
+ [Photoshop and InDesign](README.md#photoshop-and-indesign)
|
||||
* [Usage](README.md#usage)
|
||||
* [The Zen of SheetJS](README.md#the-zen-of-sheetjs)
|
||||
* [JS Ecosystem Demos](README.md#js-ecosystem-demos)
|
||||
- [Acquiring and Extracting Data](README.md#acquiring-and-extracting-data)
|
||||
* [Parsing Workbooks](README.md#parsing-workbooks)
|
||||
* [Processing JSON and JS Data](README.md#processing-json-and-js-data)
|
||||
* [Processing HTML Tables](README.md#processing-html-tables)
|
||||
- [Processing Data](README.md#processing-data)
|
||||
* [Modifying Workbook Structure](README.md#modifying-workbook-structure)
|
||||
* [Modifying Cell Values](README.md#modifying-cell-values)
|
||||
* [Modifying Other Worksheet / Workbook / Cell Properties](README.md#modifying-other-worksheet--workbook--cell-properties)
|
||||
- [Packaging and Releasing Data](README.md#packaging-and-releasing-data)
|
||||
* [Writing Workbooks](README.md#writing-workbooks)
|
||||
* [Writing Examples](README.md#writing-examples)
|
||||
* [Streaming Write](README.md#streaming-write)
|
||||
* [Generating JSON and JS Data](README.md#generating-json-and-js-data)
|
||||
* [Generating HTML Tables](README.md#generating-html-tables)
|
||||
* [Generating Single-Worksheet Snapshots](README.md#generating-single-worksheet-snapshots)
|
||||
- [Interface](README.md#interface)
|
||||
* [Parsing functions](README.md#parsing-functions)
|
||||
* [Writing functions](README.md#writing-functions)
|
||||
* [Utilities](README.md#utilities)
|
||||
- [Common Spreadsheet Format](README.md#common-spreadsheet-format)
|
||||
* [General Structures](README.md#general-structures)
|
||||
* [Cell Object](README.md#cell-object)
|
||||
+ [Data Types](README.md#data-types)
|
||||
+ [Dates](README.md#dates)
|
||||
* [Sheet Objects](README.md#sheet-objects)
|
||||
+ [Worksheet Object](README.md#worksheet-object)
|
||||
+ [Chartsheet Object](README.md#chartsheet-object)
|
||||
+ [Macrosheet Object](README.md#macrosheet-object)
|
||||
+ [Dialogsheet Object](README.md#dialogsheet-object)
|
||||
* [Workbook Object](README.md#workbook-object)
|
||||
+ [Workbook File Properties](README.md#workbook-file-properties)
|
||||
* [Workbook-Level Attributes](README.md#workbook-level-attributes)
|
||||
+ [Defined Names](README.md#defined-names)
|
||||
+ [Workbook Views](README.md#workbook-views)
|
||||
+ [Miscellaneous Workbook Properties](README.md#miscellaneous-workbook-properties)
|
||||
* [Document Features](README.md#document-features)
|
||||
+ [Formulae](README.md#formulae)
|
||||
+ [Row and Column Properties](README.md#row-and-column-properties)
|
||||
+ [Number Formats](README.md#number-formats)
|
||||
+ [Hyperlinks](README.md#hyperlinks)
|
||||
+ [Cell Comments](README.md#cell-comments)
|
||||
+ [Sheet Visibility](README.md#sheet-visibility)
|
||||
+ [VBA and Macros](README.md#vba-and-macros)
|
||||
- [Parsing Options](README.md#parsing-options)
|
||||
* [Input Type](README.md#input-type)
|
||||
* [Guessing File Type](README.md#guessing-file-type)
|
||||
- [Writing Options](README.md#writing-options)
|
||||
* [Supported Output Formats](README.md#supported-output-formats)
|
||||
* [Output Type](README.md#output-type)
|
||||
- [Utility Functions](README.md#utility-functions)
|
||||
* [Array of Arrays Input](README.md#array-of-arrays-input)
|
||||
* [Array of Objects Input](README.md#array-of-objects-input)
|
||||
* [HTML Table Input](README.md#html-table-input)
|
||||
* [Formulae Output](README.md#formulae-output)
|
||||
* [Delimiter-Separated Output](README.md#delimiter-separated-output)
|
||||
+ [UTF-16 Unicode Text](README.md#utf-16-unicode-text)
|
||||
* [HTML Output](README.md#html-output)
|
||||
* [JSON](README.md#json)
|
||||
- [File Formats](README.md#file-formats)
|
||||
- [Testing](README.md#testing)
|
||||
* [Node](README.md#node)
|
||||
* [Browser](README.md#browser)
|
||||
* [Tested Environments](README.md#tested-environments)
|
||||
* [Test Files](README.md#test-files)
|
||||
- [Contributing](README.md#contributing)
|
||||
* [OSX/Linux](README.md#osxlinux)
|
||||
* [Windows](README.md#windows)
|
||||
* [Tests](README.md#tests)
|
||||
- [License](README.md#license)
|
||||
- [References](README.md#references)
|
@ -1 +0,0 @@
|
||||
../../formats.png
|
@ -1 +0,0 @@
|
||||
../../legend.png
|
@ -1,19 +0,0 @@
|
||||
a.anchorjs-link {
|
||||
color: rgba(65, 131, 196, 0.1);
|
||||
font-weight: 400;
|
||||
text-decoration: none;
|
||||
transition: color 100ms ease-out;
|
||||
z-index: 999;
|
||||
}
|
||||
|
||||
a.anchorjs-link:hover {
|
||||
color: rgba(65, 131, 196, 1);
|
||||
}
|
||||
|
||||
.gitbook-link {
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
#book-search-input {
|
||||
display: none !important;
|
||||
}
|
102
misc/formats.dot
102
misc/formats.dot
@ -1,102 +0,0 @@
|
||||
digraph G {
|
||||
graph [mindist=0.1];
|
||||
node [fontname="Indie Flower"];
|
||||
csf [shape=doublecircle,label="Common\nSpreadsheet\nFormat\n(JS Object)"];
|
||||
subgraph XL {
|
||||
node [style=filled,color="#00FF00"];
|
||||
xls2 [label="XLS\nBIFF2"];
|
||||
xls3 [label="XLS\nBIFF3"];
|
||||
xls4 [label="XLS\nBIFF4"];
|
||||
xls5 [label="XLS\nBIFF5"];
|
||||
xls8 [label="XLS\nBIFF8"];
|
||||
xlml [label="SSML\n(2003/4)"];
|
||||
xlsx [label="XLSX\nXLSM"];
|
||||
xlsb [label="XLSB\nBIFF12"];
|
||||
}
|
||||
|
||||
subgraph OLD {
|
||||
node [style=filled,color=cyan];
|
||||
nums [label="NUMBERS"];
|
||||
ods [label="ODS"];
|
||||
fods [label="FODS"];
|
||||
uos [label="UOS"];
|
||||
html [label="HTML\nTable"];
|
||||
csv [label="CSV"];
|
||||
txt [label="TXT\nUTF-16"];
|
||||
dbf [label="DBF"];
|
||||
dif [label="DIF"];
|
||||
slk [label="SYLK"];
|
||||
prn [label="PRN"];
|
||||
rtf [label="RTF"];
|
||||
wk1 [label="WK1"];
|
||||
wksl [label="WKS\nLotus"];
|
||||
wk3 [label="WK3"];
|
||||
wk4 [label="WK4"]
|
||||
123 [label="123"];
|
||||
wksm [label="WKS\nWorks"];
|
||||
xlr [label="XLR"];
|
||||
wq1 [label="WQ1"];
|
||||
wq2 [label="WQ2\nWB*"];
|
||||
qpw [label="QPW"];
|
||||
eth [label="ETH"];
|
||||
}
|
||||
|
||||
subgraph WORKBOOK {
|
||||
edge [color=blue];
|
||||
csf -> xlsx
|
||||
xlsx -> csf
|
||||
csf -> xlsb
|
||||
xlsb -> csf
|
||||
csf -> xlml
|
||||
xlml -> csf
|
||||
csf -> xls5
|
||||
xls5 -> csf
|
||||
csf -> xls8
|
||||
xls8 -> csf
|
||||
wq2 -> csf
|
||||
ods -> csf
|
||||
csf -> ods
|
||||
fods -> csf
|
||||
csf -> fods
|
||||
uos -> csf
|
||||
wk3 -> csf
|
||||
csf -> wk3
|
||||
wk4 -> csf
|
||||
123 -> csf
|
||||
qpw -> csf
|
||||
nums -> csf
|
||||
csf -> nums
|
||||
}
|
||||
subgraph WORKSHEET {
|
||||
edge [color=aquamarine4];
|
||||
xls2 -> csf
|
||||
csf -> xls2
|
||||
xls3 -> csf
|
||||
csf -> xls3
|
||||
xls4 -> csf
|
||||
csf -> xls4
|
||||
csf -> slk
|
||||
slk -> csf
|
||||
csf -> dif
|
||||
wk1 -> csf
|
||||
csf -> wk1
|
||||
xlr -> csf
|
||||
wq1 -> csf
|
||||
wksl -> csf
|
||||
wksm -> csf
|
||||
dif -> csf
|
||||
csf -> rtf
|
||||
prn -> csf
|
||||
csf -> prn
|
||||
csv -> csf
|
||||
csf -> csv
|
||||
txt -> csf
|
||||
csf -> txt
|
||||
dbf -> csf
|
||||
csf -> dbf
|
||||
html -> csf
|
||||
csf -> html
|
||||
csf -> eth
|
||||
eth -> csf
|
||||
}
|
||||
}
|
@ -1,49 +0,0 @@
|
||||
digraph G {
|
||||
graph [mindist=0];
|
||||
node [fontname="Indie Flower"];
|
||||
labelloc=t;
|
||||
//label="Legend"
|
||||
fontname="Indie Flower"
|
||||
style=filled
|
||||
fillcolor="transparent"
|
||||
|
||||
subgraph cluster_0 {
|
||||
label="Supported Format Types"
|
||||
color="transparent"
|
||||
fontname="Indie Flower"
|
||||
XL[label="Excel",style=filled,color="#00FF00"];
|
||||
CSF[label="JS",shape=doublecircle];
|
||||
OLD[label="Other",style=filled,color=cyan];
|
||||
{ edge[style=invis] XL -> CSF -> OLD[constraint=false]}
|
||||
}
|
||||
|
||||
subgraph cluster_1 {
|
||||
label="Workbook Format Conversions\n(blue arrow)"
|
||||
color="transparent"
|
||||
fontname="Indie Flower"
|
||||
x1i[label="XLSX"]
|
||||
c1[shape=doublecircle,label="JS"];
|
||||
x1o[label="XLSB"]
|
||||
{ edge[color=blue]
|
||||
x1i->c1[constraint=false,label="read",fontname="Indie Flower"]
|
||||
c1->x1o[constraint=false,label="write",fontname="Indie Flower"];
|
||||
}
|
||||
}
|
||||
|
||||
subgraph cluster_2 {
|
||||
label="Single-Worksheet Format Conversions\n(green arrow)"
|
||||
color="transparent"
|
||||
fontname="Indie Flower"
|
||||
x2i[label="SYLK"]
|
||||
c2[shape=doublecircle,label="JS"];
|
||||
x2o[label="CSV"]
|
||||
{ edge[color=aquamarine4]
|
||||
x2i->c2[constraint=false,label="read",fontname="Indie Flower"]
|
||||
c2->x2o[constraint=false,label="write",fontname="Indie Flower"];
|
||||
}
|
||||
}
|
||||
|
||||
{ edge[style=invis] XL -> x1i -> x2i; }
|
||||
{ edge[style=invis] CSF -> c1 -> c2; }
|
||||
{ edge[style=invis] OLD -> x1o -> x2o; }
|
||||
}
|
Loading…
Reference in New Issue
Block a user